Alder Lake Intel Linux Testsopenssl: SHA256tensorflow-lite: Inception ResNet V2tensorflow-lite: Mobilenet Quanttensorflow-lite: Inception V4tensorflow-lite: Mobilenet Floattensorflow-lite: SqueezeNettensorflow-lite: NASNet Mobilecoremark: CoreMark Size 666 - Iterations Per Secondcompress-7zip: Decompression Ratingstockfish: Total Timeindigobench: CPU - Supercaraircrack-ng: stargate: 480000 - 1024onnx: fcn-resnet101-11 - CPUavifenc: 6, Losslessonnx: yolov4 - CPUblender: BMW27 - CPU-Onlytungsten: Hairblender: Fishy Cat - CPU-Onlystargate: 480000 - 512tungsten: Non-Exponentialv-ray: CPUbuild-mplayer: Time To Compileopenssl: RSA4096openssl: RSA4096appleseed: Disney Materialindigobench: CPU - Bedroomappleseed: Material Testerastcenc: Exhaustivehelsing: 12 digitsvt-hevc: 7 - Bosphorus 1080ptungsten: Volumetric Causticdarktable: Boat - CPU-onlyembree: Pathtracer - Crownbuild-linux-kernel: Time To Compilesvt-hevc: 10 - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pospray: NASA Streamlines - SciVisbuild-llvm: Ninjacompress-7zip: Compression Ratingprimesieve: 1e12 Prime Number Generationsvt-av1: Preset 8 - Bosphorus 1080pospray: San Miguel - SciVisbuild-mesa: Time To Compilexmrig: Monero - 1Mbuild-nodejs: Time To Compileembree: Pathtracer ISPC - Crownxmrig: Wownero - 1Mbuild-wasmer: Time To Compiledarktable: Server Room - CPU-onlylammps: Rhodopsin Proteinonnx: shufflenet-v2-10 - CPUplaidml: No - Inference - VGG19 - CPUonnx: super-resolution-10 - CPUplaidml: No - Inference - VGG16 - CPUdarktable: Masskrug - CPU-onlycompress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9lczero: BLASavifenc: 6compress-zstd: 19, Long Mode - Compression Speedsvt-av1: Preset 8 - Bosphorus 4Ktungsten: Water Causticrawtherapee: Total Benchmark Timeaom-av1: Speed 6 Two-Pass - Bosphorus 4Kbuild-gdb: Time To Compiletnn: CPU - DenseNetaom-av1: Speed 6 Realtime - Bosphorus 4Klczero: Eigenastcenc: Thoroughhugin: Panorama Photo Assistant + Stitching Timesrsran: OFDM_Testlibraw: Post-Processing Benchmarkrav1e: 10dacapobench: Jythonnode-web-tooling: mnn: mobilenet-v1-1.0compress-zstd: 19 - Compression Speedmnn: MobileNetV2_224srsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMjpegxl: JPEG - 8srsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMcrafty: Elapsed Timesimdjson: PartialTweetssrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMwireguard: simdjson: LargeRandsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMtjbench: Decompression Throughputsecuremark: SecureMark-TLStnn: CPU - MobileNet v2webp: Quality 100, Highest Compressionpybench: Total For Average Test Timesselenium: Kraken - Google Chrometnn: CPU - SqueezeNet v1.1etcpak: ETC2compress-lz4: 9 - Compression Speedselenium: Octane - Google Chrometnn: CPU - SqueezeNet v2chia-vdf: Square Plain C++unpack-firefox: firefox-84.0.source.tar.xzsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMcompress-lz4: 3 - Compression Speedcython-bench: N-Queensaom-av1: Speed 8 Realtime - Bosphorus 4Kphpbench: PHP Benchmark Suitewebp: Quality 100, Losslesssrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMselenium: WASM imageConvolute - Google Chromencnn: CPU - resnet50srsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsimdjson: DistinctUserIDpyhpc: CPU - Numba - 4194304 - Isoneutral Mixingselenium: Jetstream 2 - Google Chromepyhpc: CPU - Numba - 4194304 - Equation of Stateunpack-linux: linux-4.15.tar.xzsimdjson: Kostyaselenium: Speedometer - Google Chromechia-vdf: Square Assembly Optimizedaom-av1: Speed 10 Realtime - Bosphorus 4Kgimp: resizejpegxl: PNG - 8selenium: StyleBench - Google Chromeplaidml: No - Inference - ResNet 50 - CPUpyhpc: CPU - TensorFlow - 4194304 - Equation of Stategimp: rotateaom-av1: Speed 9 Realtime - Bosphorus 4Kcompress-lz4: 9 - Decompression Speedpyhpc: CPU - Aesara - 4194304 - Equation of Statencnn: CPU - alexnetcompress-lz4: 3 - Decompression Speedoctave-benchmark: gimp: auto-levelscompress-zstd: 19 - Decompression Speedpyhpc: CPU - PyTorch - 4194304 - Isoneutral Mixingcompress-zstd: 19, Long Mode - Decompression Speedpyhpc: CPU - Aesara - 4194304 - Isoneutral Mixingncnn: CPU - vgg16mnn: mobilenetV3pyhpc: CPU - Numpy - 4194304 - Equation of Stategimp: unsharp-maskpyhpc: CPU - Numpy - 4194304 - Isoneutral Mixingselenium: PSPDFKit WASM - Google Chromeopencv: DNN - Deep Neural Networkopencv: Object Detectionncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPU - resnet18ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetmnn: inception-v3mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: squeezenetv1.1svt-vp9: VMAF Optimized - Bosphorus 1080petcpak: DXT1Core i9 12900KCore i5 12600KCore i5 1240024194561627113597062049.1126330358896.487910.373445.2752115.82216996602475241468.37850983.8586.8715439829.36267274.6614.3871110.246.3667373.721732016117.975279362.34284.4109.0149263.044115.03447433.47173.070233.214.980452.69018.827347.845475.92381.5734.48358.46711941316.34293.44828.5725.8576125.9316.86620.157210428.932.8182.0199.5644669020.44467724.662.89421.71011358.24739.023.63118.287236.65712.0744.7881733.71814.5418416.926631.20919570000057.7312.024190021.612.88743.72.442206.3201.842.66621.1126331176.61568.1161.9109.5131.73225.2277.503339389601178.6845.235499429.1153.146238.42976.479909640.81222516713.23992.4182.377.9514.07249.61142206812.517551.017.9718.23623.17.640.797261.8040.1373.8274.7530325556776.655.2081.0964.39.320.0927.47968.3711991.20.1748.9712007.74.8958.0074550.21.2174679.81.22532.631.1621.2969.9061.95325958841501736.8713.3516.2410.839.771.375.083.002.962.783.3010.9023.6954.25520.0062.843366.291655.329147845674971816837101071202739095135.7140924108980460322.55514161848308476745.24132917.1854.7996756742.772458116.2721.8720170.374.6418085.894501311426.551180864.32785.9161.7803172.010171.89939750.96144.664158.977.059193.88012.622768.586330.12229.1323.26517.3127797524.25075.54518.8735.8473411.0451.83113.93007375.943.3742.7815.8673977115.31421518.613.91225.7679599.86732.919.21221.702145.69910.5652.2881974.00413.1514498.987634.24918410000052.7910.361218419.902.36535.92.259194.5188.641.15587.8118906516.23538.4152.3118.6061.62213.7261.903989367882193.8885.539528456.6161.006225.21172.309433043.17421313313.85586.5173.574.0114.89751.20134539013.183523.518.9719.54593.27.300.829250.6520.1443.9674.5629024553376.885.4031.0662.68.800.0947.71868.4013475.50.1849.2013431.34.9328.2364483.21.1934604.21.20935.551.1991.21610.0151.879261710012521057.3917.0917.0210.9711.101.436.083.453.193.203.8912.6328.8984.54618.7562.577220.861556.072876139895329218801587673229520150209221127182521304747.30957941194207469433.65922304.5083.0121894365.457302165.4631.3260238.652.9500767.79702965737.172135401.22092.3223.1807921.491231.88964167.20626.156116.789.937685.2839.667492.075250.22201.1618.27664.5746523729.80751.57515.7946.5573807.9567.76111.48856230.754.8303.3616.7302927412.93298615.834.46833.01375412.33227.016.59425.830151.2828.7661.5992369.34611.1514157.085540.04115276000045.279.496234417.642.83035.82.020172.4169.035.77522.5106314275.57478.8136.5129.8401.46190.2234.388308329402211.2866.190590507.1180.981201.76364.748389748.18319073315.61178.4154.766.2816.54043.60121169814.655470.921.0116.74534.06.560.928225.2600.1594.4414.126222116766.615.9900.9556.208.160.1058.51860.3612982.90.1958.2112950.95.4528.9024096.01.3244218.01.33835.181.1031.31910.4261.861270010349315605.9714.9316.689.689.141.083.712.412.872.422.659.9623.0973.53019.8892.354197.401386.753OpenBenchmarking.org\nOpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.0Algorithm: SHA256Core i5 12600KCore i5 12400Core i9 12900K30M60M90M120M150M139993125.78137540134.91133049156.04\nMinAvgMaxCore i5 124002.5863.773.43Core i5 12600K3.27105.6127.76Core i9 12900K2.22181.8226.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.0CPU Power Consumption Monitor60120180240300\nMinAvgMaxCore i5 124002.8161.363.46Core i5 12600K3.28101.1106.63Core i9 12900K2.38173.3189.29OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor50100150200250\nOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Core i9 12900KCore i5 12600KCore i5 12400500K1000K1500K2000K2500KMin: 1134050 / Avg: 1135970 / Max: 1138270Min: 1815450 / Avg: 1816836.67 / Max: 1819090Min: 2920520 / Avg: 2921880 / Max: 2922690\nMinAvgMaxCore i5 124002.6755.159.12Core i5 12600K3.3194.4101.66Core i9 12900K2.42165.1177.6OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor50100150200250\nOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantCore i9 12900KCore i5 12600KCore i5 1240030K60K90K120K150KMin: 61993.6 / Avg: 62049.1 / Max: 62110.6Min: 101004 / Avg: 101071 / Max: 101116Min: 158736 / Avg: 158767.33 / Max: 158796\nMinAvgMaxCore i5 124002.5761.163.08Core i5 12600K3.36101.9106.56Core i9 12900K2.38173.8187.72OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor50100150200250\nOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Core i9 12900KCore i5 12600KCore i5 12400600K1200K1800K2400K3000KMin: 1261890 / Avg: 1263303.33 / Max: 1265040Min: 2026700 / Avg: 2027390 / Max: 2028020Min: 3229100 / Avg: 3229520 / Max: 3230240\nMinAvgMaxCore i5 124002.6759.063.14Core i5 12600K3.399.1106.33Core i9 12900K2.42174.2187.99OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor50100150200250\nOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatCore i9 12900KCore i5 12600KCore i5 1240030K60K90K120K150KMin: 58824 / Avg: 58896.4 / Max: 58974.4Min: 95074.7 / Avg: 95135.67 / Max: 95192.5Min: 150177 / Avg: 150208.67 / Max: 150270\nMinAvgMaxCore i5 124002.6458.763.02Core i5 12600K3.398.7106.36Core i9 12900K2.19171.4187.19OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor50100150200250\nOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetCore i9 12900KCore i5 12600KCore i5 1240040K80K120K160K200KMin: 87832.6 / Avg: 87910.27 / Max: 88021.4Min: 140854 / Avg: 140923.67 / Max: 141046Min: 221056 / Avg: 221126.67 / Max: 221167\nMinAvgMaxCore i5 124002.5458.462.87Core i5 12600K3.3498.8106.28Core i9 12900K2.49173.4187.07OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor50100150200250\nOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileCore i9 12900KCore i5 12600KCore i5 1240030K60K90K120K150KMin: 71591.9 / Avg: 73445.17 / Max: 74445.1Min: 108561 / Avg: 108980.33 / Max: 109282Min: 182369 / Avg: 182520.67 / Max: 182724\nOpenBenchmarking.orgIterations/Sec Per Watt, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondCore i9 12900KCore i5 12400Core i5 12600K120024003600480060005648.175433.135286.08\nMinAvgMaxCore i5 124002.5256.163.34Core i5 12600K3.2387.1104.14Core i9 12900K2.2133.2179.3OpenBenchmarking.orgWatts, Fewer Is BetterCoremark 1.0CPU Power Consumption Monitor50100150200250\nOpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 21.06Test: Decompression RatingCore i5 12400Core i5 12600KCore i9 12900K2004006008001000791.58735.96722.87\nMinAvgMaxCore i5 124002.5952.068.57Core i5 12600K3.2884.0106.53Core i9 12900K2.22133.6173.69OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 21.06CPU Power Consumption Monitor50100150200250\nOpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 21.06Test: Decompression RatingCore i9 12900KCore i5 12600KCore i5 1240020K40K60K80K100KMin: 95918 / Avg: 96601.67 / Max: 97641Min: 61331 / Avg: 61848 / Max: 62154Min: 40917 / Avg: 41194 / Max: 414291. (CXX) g++ options: -lpthread -ldl -O2 -fPIC\nOpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 13Total TimeCore i5 12400Core i5 12600KCore i9 12900K60K120K180K240K300K301180.51280213.63267726.01\nMinAvgMaxCore i5 124002.5968.984.38Core i5 12600K3.4110.1134.28Core i9 12900K2.28177.5238.27OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 13CPU Power Consumption Monitor60120180240300\nOpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 13Total TimeCore i9 12900KCore i5 12600KCore i5 124008M16M24M32M40MMin: 46037631 / Avg: 47524146.33 / Max: 49580477Min: 30639647 / Avg: 30847674 / Max: 31029517Min: 20686541 / Avg: 20746942.67 / Max: 208305381. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fprofile-use -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver\nOpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarCore i5 12400Core i5 12600KCore i9 12900K0.01220.02440.03660.04880.0610.0540.0470.045\nMinAvgMaxCore i5 124002.8667.374.48Core i5 12600K3.77110.6122.2Core i9 12900K2.57186.6212.86OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor60120180240300\nOpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarCore i9 12900KCore i5 12600KCore i5 124003691215Min: 8.31 / Avg: 8.38 / Max: 8.43Min: 5.17 / Avg: 5.24 / Max: 5.3Min: 3.65 / Avg: 3.66 / Max: 3.67\nOpenBenchmarking.orgk/s Per Watt, More Is BetterAircrack-ng 1.5.2Core i5 12400Core i5 12600KCore i9 12900K80160240320400359.25325.11293.73\nMinAvgMaxCore i5 124002.562.172.36Core i5 12600K3.19101.2117.04Core i9 12900K2.24173.6202.68OpenBenchmarking.orgWatts, Fewer Is BetterAircrack-ng 1.5.2CPU Power Consumption Monitor50100150200250\nRender Ratio Per Watt\nOpenBenchmarking.orgRender Ratio Per Watt, More Is BetterStargate Digital Audio Workstation 21.10.9Sample Rate: 480000 - Buffer Size: 1024Core i5 12400Core i5 12600KCore i9 12900K0.01150.0230.03450.0460.05750.0510.0500.045\nMinAvgMaxCore i5 124002.5959.165.84Core i5 12600K3.2996.8112.89Core i9 12900K2.33152.0197OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 21.10.9CPU Power Consumption Monitor50100150200250\nOpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 21.10.9Sample Rate: 480000 - Buffer Size: 1024Core i9 12900KCore i5 12600KCore i5 124003691215Min: 6.83 / Avg: 6.87 / Max: 6.9Min: 4.79 / Avg: 4.8 / Max: 4.81Min: 3.01 / Avg: 3.01 / Max: 3.011. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions\nOpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.10Model: fcn-resnet101-11 - Device: CPUCore i5 12400Core i5 12600KCore i9 12900K0.20970.41940.62910.83881.04850.9320.7270.591\nMinAvgMaxCore i5 124002.646.148.93Core i5 12600K3.3192.297.36Core i9 12900K2.48165.8187.64OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.10CPU Power Consumption Monitor50100150200250\nMinAvgMaxCore i5 124002.5967.478.47Core i5 12600K3.29102.8127.02Core i9 12900K2.22152.8228.25OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.9.0CPU Power Consumption Monitor60120180240300\nOpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 6, LosslessCore i9 12900KCore i5 12600KCore i5 124001326395265Min: 29.03 / Avg: 29.36 / Max: 29.55Min: 42.67 / Avg: 42.77 / Max: 42.85Min: 65.25 / Avg: 65.46 / Max: 65.711. (CXX) g++ options: -O3 -fPIC -lm\nOpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.10Model: yolov4 - Device: CPUCore i5 12400Core i5 12600KCore i9 12900K2468106.2885.0864.095\nMinAvgMaxCore i5 124002.5348.050.18Core i5 12600K3.3790.095.97Core i9 12900K2.41164.1180.56OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.10CPU Power Consumption Monitor50100150200250\nMinAvgMaxCore i5 124002.7677.680.88Core i5 12600K3.55121.1127.38Core i9 12900K2.32203.9227.88OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.0CPU Power Consumption Monitor60120180240300\nOpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: BMW27 - Compute: CPU-OnlyCore i9 12900KCore i5 12600KCore i5 12400306090120150Min: 74.34 / Avg: 74.66 / Max: 74.83Min: 116.11 / Avg: 116.27 / Max: 116.56Min: 165.19 / Avg: 165.46 / Max: 165.75\nMinAvgMaxCore i5 124002.7364.974.9Core i5 12600K3.3100.7122.46Core i9 12900K2.41156.0218.84OpenBenchmarking.orgWatts, Fewer Is BetterTungsten Renderer 0.2.2CPU Power Consumption Monitor60120180240300\nOpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: HairCore i9 12900KCore i5 12600KCore i5 12400714212835Min: 14.22 / Avg: 14.39 / Max: 14.51Min: 21.85 / Avg: 21.87 / Max: 21.91Min: 31.3 / Avg: 31.33 / Max: 31.341. (CXX) g++ options: -std=c++0x -march=core2 -msse2 -msse3 -mssse3 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-avx -mno-fma -mno-bmi2 -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -ldl\nMinAvgMaxCore i5 124002.6477.579.89Core i5 12600K3.31121.1126.18Core i9 12900K2.42208.2227.89OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.0CPU Power Consumption Monitor60120180240300\nOpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: Fishy Cat - Compute: CPU-OnlyCore i9 12900KCore i5 12600KCore i5 124004080120160200Min: 110.02 / Avg: 110.24 / Max: 110.52Min: 170.11 / Avg: 170.37 / Max: 170.67Min: 238.55 / Avg: 238.65 / Max: 238.78\nOpenBenchmarking.orgRender Ratio Per Watt, More Is BetterStargate Digital Audio Workstation 21.10.9Sample Rate: 480000 - Buffer Size: 512Core i5 12400Core i5 12600KCore i9 12900K0.01130.02260.03390.04520.05650.0500.0490.045\nMinAvgMaxCore i5 124002.6859.366.12Core i5 12600K3.2895.6111.57Core i9 12900K2.31143.0182.33OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 21.10.9CPU Power Consumption Monitor50100150200250\nOpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 21.10.9Sample Rate: 480000 - Buffer Size: 512Core i9 12900KCore i5 12600KCore i5 124003691215Min: 6.35 / Avg: 6.37 / Max: 6.38Min: 4.64 / Avg: 4.64 / Max: 4.64Min: 2.94 / Avg: 2.95 / Max: 2.951. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions\nMinAvgMaxCore i5 124002.5347.873.09Core i5 12600K3.2968.2114.81Core i9 12900K2.2390.1193.28OpenBenchmarking.orgWatts, Fewer Is BetterTungsten Renderer 0.2.2CPU Power Consumption Monitor50100150200250\nOpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Non-ExponentialCore i9 12900KCore i5 12600KCore i5 124003691215Min: 3.61 / Avg: 3.72 / Max: 3.92Min: 5.84 / Avg: 5.89 / Max: 5.95Min: 7.61 / Avg: 7.8 / Max: 7.91. (CXX) g++ options: -std=c++0x -march=core2 -msse2 -msse3 -mssse3 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-avx -mno-fma -mno-bmi2 -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -ldl\nOpenBenchmarking.orgvsamples Per Watt, More Is BetterChaos Group V-RAY 5Mode: CPUCore i5 12400Core i5 12600KCore i9 12900K306090120150153.07127.42119.26\nMinAvgMaxCore i5 124002.8363.176.52Core i5 12600K3.28102.9124.82Core i9 12900K2.15169.1213.61OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 5CPU Power Consumption Monitor60120180240300\nOpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5Mode: CPUCore i9 12900KCore i5 12600KCore i5 124003K6K9K12K15KMin: 20077 / Avg: 20161 / Max: 20257Min: 13098 / Avg: 13113.67 / Max: 13132Min: 9632 / Avg: 9657 / Max: 9678\nMinAvgMaxCore i5 124002.6460.674.93Core i5 12600K3.5789.6123.72Core i9 12900K2.38113.0211.06OpenBenchmarking.orgWatts, Fewer Is BetterTimed MPlayer Compilation 1.4CPU Power Consumption Monitor60120180240300\nOpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileCore i9 12900KCore i5 12600KCore i5 12400816243240Min: 17.87 / Avg: 17.97 / Max: 18.17Min: 26.54 / Avg: 26.55 / Max: 26.56Min: 37.15 / Avg: 37.17 / Max: 37.19\nOpenBenchmarking.orgverify/s Per Watt, More Is BetterOpenSSL 3.0Algorithm: RSA4096Core i5 12400Core i5 12600KCore i9 12900K50010001500200025002186.791826.231643.80\nMinAvgMaxCore i5 124002.5861.967.44Core i5 12600K3.3799.0107.99Core i9 12900K2.4169.9187.92OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.0CPU Power Consumption Monitor50100150200250\nOpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.0Algorithm: RSA4096Core i9 12900KCore i5 12600KCore i5 1240050K100K150K200K250KMin: 279279.3 / Avg: 279362.27 / Max: 279489.8Min: 180790.6 / Avg: 180864.27 / Max: 180980.4Min: 135395.1 / Avg: 135401.2 / Max: 135411.21. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl\nOpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.0Algorithm: RSA4096Core i9 12900KCore i5 12600KCore i5 124007001400210028003500Min: 4251.5 / Avg: 4284.43 / Max: 4301.8Min: 2784.3 / Avg: 2785.87 / Max: 2787.3Min: 2091.7 / Avg: 2092.27 / Max: 2092.71. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl\nMinAvgMaxCore i5 124003.0178.882.29Core i5 12600K3.56125.2131.4Core i9 12900K2.33204.4223.05OpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU Power Consumption Monitor60120180240300\nOpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomCore i5 12400Core i5 12600KCore i9 12900K0.00520.01040.01560.02080.0260.0230.0190.017\nMinAvgMaxCore i5 124002.7465.771.54Core i5 12600K3.65105.9116.42Core i9 12900K2.64177.1198.25OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor50100150200250\nMinAvgMaxCore i5 124002.7273.477.39Core i5 12600K3.92114.9122.14Core i9 12900K2.56190.9210.96OpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU Power Consumption Monitor60120180240300\nMinAvgMaxCore i5 124002.6168.675.78Core i5 12600K3.35106.0120.01Core i9 12900K2.34173.2216.87OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 3.2CPU Power Consumption Monitor60120180240300\nOpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 3.2Preset: ExhaustiveCore i9 12900KCore i5 12600KCore i5 124001326395265Min: 33.35 / Avg: 33.47 / Max: 33.56Min: 50.95 / Avg: 50.96 / Max: 50.97Min: 67.19 / Avg: 67.21 / Max: 67.231. (CXX) g++ options: -O3 -flto -pthread\nMinAvgMaxCore i5 124002.4542.269.75Core i5 12600K3.2162.1115.47Core i9 12900K2.1778.8192.53OpenBenchmarking.orgWatts, Fewer Is BetterHelsing 1.0-betaCPU Power Consumption Monitor50100150200250\nOpenBenchmarking.orgSeconds, Fewer Is BetterHelsing 1.0-betaDigit Range: 12 digitCore i9 12900KCore i5 12600KCore i5 12400246810Min: 3.04 / Avg: 3.07 / Max: 3.12Min: 4.63 / Avg: 4.66 / Max: 4.75Min: 6.12 / Avg: 6.16 / Max: 6.231. (CC) gcc options: -O2 -pthread\nOpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080pCore i9 12900KCore i5 12400Core i5 12600K0.64711.29421.94132.58843.23552.8762.4592.439\nMinAvgMaxCore i5 124002.6347.585.86Core i5 12600K3.3865.2137.61Core i9 12900K2.2581.1221.04OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor60120180240300\nMinAvgMaxCore i5 124002.5353.575.34Core i5 12600K3.2478.0123.44Core i9 12900K2.26108.5203.24OpenBenchmarking.orgWatts, Fewer Is BetterTungsten Renderer 0.2.2CPU Power Consumption Monitor50100150200250\nOpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Volumetric CausticCore i9 12900KCore i5 12600KCore i5 124003691215Min: 4.81 / Avg: 4.98 / Max: 5.13Min: 7.01 / Avg: 7.06 / Max: 7.15Min: 9.89 / Avg: 9.94 / Max: 9.981. (CXX) g++ options: -std=c++0x -march=core2 -msse2 -msse3 -mssse3 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-avx -mno-fma -mno-bmi2 -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -ldl\nMinAvgMaxCore i5 124002.6638.474.77Core i5 12600K3.2752.1124.55Core i9 12900K2.2163.9200.41OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 3.6.0CPU Power Consumption Monitor50100150200250\nOpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.6.0Test: Boat - Acceleration: CPU-onlyCore i9 12900KCore i5 12600KCore i5 12400246810Min: 2.65 / Avg: 2.69 / Max: 2.73Min: 3.83 / Avg: 3.88 / Max: 3.92Min: 5.26 / Avg: 5.28 / Max: 5.31\nOpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer - Model: CrownCore i5 12400Core i5 12600KCore i9 12900K0.02990.05980.08970.11960.14950.1330.1150.108\nMinAvgMaxCore i5 124002.6572.478.04Core i5 12600K3.46109.6121.67Core i9 12900K2.23174.2206.07OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor60120180240300\nMinAvgMaxCore i5 124002.9266.075.88Core i5 12600K3.82101.5122.95Core i9 12900K2.33144.5207.08OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 5.14CPU Power Consumption Monitor60120180240300\nOpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.14Time To CompileCore i9 12900KCore i5 12600KCore i5 1240020406080100Min: 47.34 / Avg: 47.84 / Max: 48.77Min: 67.42 / Avg: 68.59 / Max: 70.19Min: 91.44 / Avg: 92.08 / Max: 93.15\nMinAvgMaxCore i5 124002.631.983.07Core i5 12600K3.1841.4129.74Core i9 12900K2.3146.1201.93OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor50100150200250\nOpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pCore i9 12900KCore i5 12400Core i5 12600K2468107.4566.0895.195\nMinAvgMaxCore i5 124002.4933.078.47Core i5 12600K3.2444.1110.19Core i9 12900K2.2951.2188.51OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor50100150200250\nOpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisCore i5 12400Core i9 12900KCore i5 12600K0.07290.14580.21870.29160.36450.3240.2950.274\nMinAvgMaxCore i5 124002.5756.479.93Core i5 12600K3.2284.8128.01Core i9 12900K2.23116.8214.47OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor60120180240300\nOpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 13.0CPU Power Consumption MonitorCore i5 12400Core i5 12600KCore i9 12900K4080120160200Min: 2.73 / Avg: 70.3 / Max: 74.87Min: 3.25 / Avg: 109.86 / Max: 120.49Min: 2.33 / Avg: 173.14 / Max: 199.86\nOpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: NinjaCore i9 12900KCore i5 12600KCore i5 12400120240360480600Min: 357.6 / Avg: 358.47 / Max: 359.85Min: 516.45 / Avg: 517.31 / Max: 518.15Min: 664.15 / Avg: 664.57 / Max: 664.84\nOpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 21.06Test: Compression RatingCore i9 12900KCore i5 12600KCore i5 1240020K40K60K80K100KMin: 118360 / Avg: 119412.67 / Max: 120614Min: 77634 / Avg: 77974.67 / Max: 78397Min: 64823 / Avg: 65237.33 / Max: 657321. (CXX) g++ options: -lpthread -ldl -O2 -fPIC\nMinAvgMaxCore i5 124002.663.873.94Core i5 12600K3.5297.3116.18Core i9 12900K2.42152.8201.57OpenBenchmarking.orgWatts, Fewer Is BetterPrimesieve 7.7CPU Power Consumption Monitor50100150200250\nOpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 7.71e12 Prime Number GenerationCore i9 12900KCore i5 12600KCore i5 12400714212835Min: 16.22 / Avg: 16.34 / Max: 16.43Min: 24.24 / Avg: 24.25 / Max: 24.28Min: 29.75 / Avg: 29.81 / Max: 29.861. (CXX) g++ options: -O3\nOpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 8 - Input: Bosphorus 1080pCore i9 12900KCore i5 12400Core i5 12600K0.26120.52240.78361.04481.3061.1611.1491.138\nMinAvgMaxCore i5 124002.5944.968.92Core i5 12600K3.2566.4111.91Core i9 12900K2.1780.5139.56OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8.7CPU Power Consumption Monitor4080120160200\nOpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisCore i5 12400Core i9 12900KCore i5 12600K0.08060.16120.24180.32240.4030.3580.3550.280\nMinAvgMaxCore i5 124002.6144.179.17Core i5 12600K3.3567.3127.49Core i9 12900K2.2380.4211.56OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor60120180240300\nMinAvgMaxCore i5 124002.7365.876.04Core i5 12600K3.6399.5124.55Core i9 12900K2.53140.3207.43OpenBenchmarking.orgWatts, Fewer Is BetterTimed Mesa Compilation 21.0CPU Power Consumption Monitor60120180240300\nOpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To CompileCore i9 12900KCore i5 12600KCore i5 12400918273645Min: 25.72 / Avg: 25.86 / Max: 26.1Min: 35.74 / Avg: 35.85 / Max: 35.95Min: 46.54 / Avg: 46.56 / Max: 46.58\nOpenBenchmarking.orgH/s, More Is BetterXmrig 6.12.1Variant: Monero - Hash Count: 1MCore i9 12900KCore i5 12400Core i5 12600K13002600390052006500SE +/- 48.35, N = 3SE +/- 4.62, N = 3SE +/- 1.47, N = 36125.93807.93411.01. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc\nOpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.12.1Variant: Monero - Hash Count: 1MCore i5 12400Core i9 12900KCore i5 12600K132639526559.7040.4238.24\nMinAvgMaxCore i5 124002.5863.865.34Core i5 12600K3.3689.291.35Core i9 12900K2.3151.5158.44OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.12.1CPU Power Consumption Monitor50100150200250\nOpenBenchmarking.orgH/s, More Is BetterXmrig 6.12.1Variant: Monero - Hash Count: 1MCore i9 12900KCore i5 12400Core i5 12600K11002200330044005500Min: 6029.4 / Avg: 6125.9 / Max: 6179.4Min: 3799.7 / Avg: 3807.93 / Max: 3815.7Min: 3408.2 / Avg: 3411.03 / Max: 3413.11. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc\nOpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 17.3CPU Power Consumption MonitorCore i5 12400Core i5 12600KCore i9 12900K4080120160200Min: 2.8 / Avg: 68.75 / Max: 74.94Min: 3.58 / Avg: 106.56 / Max: 121.21Min: 2.58 / Avg: 166.43 / Max: 201.67\nOpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 17.3Time To CompileCore i9 12900KCore i5 12600KCore i5 12400100200300400500Min: 316.76 / Avg: 316.87 / Max: 316.93Min: 449.7 / Avg: 451.83 / Max: 453.1Min: 567.42 / Avg: 567.76 / Max: 567.96\nOpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: CrownCore i5 12400Core i5 12600KCore i9 12900K0.03490.06980.10470.13960.17450.1550.1250.116\nMinAvgMaxCore i5 124002.5874.180.03Core i5 12600K3.36111.1123.26Core i9 12900K2.33174.3208.78OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor60120180240300\nOpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.12.1Variant: Wownero - Hash Count: 1MCore i5 12400Core i5 12600KCore i9 12900K2040608010088.2067.0159.23\nMinAvgMaxCore i5 124002.6970.673.18Core i5 12600K3.43110.1114.56Core i9 12900K2.38176.1186.8OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.12.1CPU Power Consumption Monitor50100150200250\nMinAvgMaxCore i5 124002.7564.173.64Core i5 12600K3.5598.3119.85Core i9 12900K2.34137.7200.77OpenBenchmarking.orgWatts, Fewer Is BetterTimed Wasmer Compilation 1.0.2CPU Power Consumption Monitor50100150200250\nOpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 1.0.2Time To CompileCore i9 12900KCore i5 12600KCore i5 124001122334455Min: 32.64 / Avg: 32.82 / Max: 33.13Min: 43.31 / Avg: 43.37 / Max: 43.49Min: 54.28 / Avg: 54.83 / Max: 55.221. (CC) gcc options: -m64 -pie -nodefaultlibs -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc\nMinAvgMaxCore i5 124002.4827.362.95Core i5 12600K3.2136.2100.66Core i9 12900K2.1839.1141.84OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 3.6.0CPU Power Consumption Monitor4080120160200\nOpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.6.0Test: Server Room - Acceleration: CPU-onlyCore i9 12900KCore i5 12600KCore i5 12400246810Min: 2 / Avg: 2.02 / Max: 2.04Min: 2.77 / Avg: 2.78 / Max: 2.79Min: 3.35 / Avg: 3.36 / Max: 3.37\nOpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein


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2020 @ 00:42\nStrani dinsdag 12 mei 2020 @ 00:45\nRedefine dinsdag 12 mei 2020 @ 00:46\nStrani dinsdag 12 mei 2020 @ 00:47\nAoibhin dinsdag 12 mei 2020 @ 00:48\nRedefine dinsdag 12 mei 2020 @ 00:48\nStrani dinsdag 12 mei 2020 @ 00:52\nhaags_kwartiertje dinsdag 12 mei 2020 @ 04:41\nMMF93 dinsdag 12 mei 2020 @ 06:59\nEm31 dinsdag 12 mei 2020 @ 07:37\nCee dinsdag 12 mei 2020 @ 07:41\nEm31 dinsdag 12 mei 2020 @ 08:37\nFred_B dinsdag 12 mei 2020 @ 08:47\nHawaii_Tim dinsdag 12 mei 2020 @ 08:56\nAoibhin dinsdag 12 mei 2020 @ 09:08\nMMF93 dinsdag 12 mei 2020 @ 09:20\nMMF93 dinsdag 12 mei 2020 @ 09:23\nAoibhin dinsdag 12 mei 2020 @ 09:36\nMomo dinsdag 12 mei 2020 @ 09:53\nGreys dinsdag 12 mei 2020 @ 09:54\nCee dinsdag 12 mei 2020 @ 10:20\nAoibhin dinsdag 12 mei 2020 @ 10:35\nAoibhin dinsdag 12 mei 2020 @ 10:50\nArizona dinsdag 12 mei 2020 @ 10:58\nAoibhin dinsdag 12 mei 2020 @ 11:03\nArizona dinsdag 12 mei 2020 @ 11:03\nArizona dinsdag 12 mei 2020 @ 11:07\nAoibhin dinsdag 12 mei 2020 @ 11:15\nAoibhin dinsdag 12 mei 2020 @ 11:19\nArizona dinsdag 12 mei 2020 @ 11:20\nMomo dinsdag 12 mei 2020 @ 11:20\nArizona dinsdag 12 mei 2020 @ 11:26\nusagi414 dinsdag 12 mei 2020 @ 11:42\nMMF93 dinsdag 12 mei 2020 @ 11:45\nMMF93 dinsdag 12 mei 2020 @ 11:46\nArizona dinsdag 12 mei 2020 @ 11:47\nMMF93 dinsdag 12 mei 2020 @ 11:47\nAoibhin dinsdag 12 mei 2020 @ 11:47\nAoibhin dinsdag 12 mei 2020 @ 11:48\nMMF93 dinsdag 12 mei 2020 @ 11:51\nMMF93 dinsdag 12 mei 2020 @ 11:53\nWij hebben dat dus echt een keer gehad . Er zat een nest in de lamp op het plafond in de woonkamer, zat ineens het hele plafond vol. EN IK WAS ALLEEN THUIS .\nAoibhin dinsdag 12 mei 2020 @ 11:59\nTHE HORROR Dat is gewoon een of andere enge film\nMMF93 dinsdag 12 mei 2020 @ 12:02\nJa nogal ja. Ik heb me samen met de kat opgesloten op de slaapkamer totdat mn vriend thuis kwam en die heeft ze allemaal vermoord\nAoibhin dinsdag 12 mei 2020 @ 12:08\nHulde voor Mr MMF!\nPoepz0r dinsdag 12 mei 2020 @ 12:46\nMomo dinsdag 12 mei 2020 @ 12:49\nStrani dinsdag 12 mei 2020 @ 13:39\nCrazyDutchPunk dinsdag 12 mei 2020 @ 13:58\nPoepz0r dinsdag 12 mei 2020 @ 13:58\nHawaii_Tim dinsdag 12 mei 2020 @ 14:00\nijs_beer dinsdag 12 mei 2020 @ 14:02\nEm31 dinsdag 12 mei 2020 @ 14:07\nEm31 dinsdag 12 mei 2020 @ 14:21\nGreys dinsdag 12 mei 2020 @ 14:21\nGreys dinsdag 12 mei 2020 @ 14:31\nAoibhin dinsdag 12 mei 2020 @ 14:40\nShippedFromTheNetherlands dinsdag 12 mei 2020 @ 14:59\nHawaii_Tim dinsdag 12 mei 2020 @ 15:01\nStrani dinsdag 12 mei 2020 @ 15:22\nFred_B dinsdag 12 mei 2020 @ 15:27\nStrani dinsdag 12 mei 2020 @ 15:29\nAoibhin dinsdag 12 mei 2020 @ 15:33\nStrani dinsdag 12 mei 2020 @ 15:36\nAoibhin dinsdag 12 mei 2020 @ 15:41\nStrani dinsdag 12 mei 2020 @ 15:42\nCee dinsdag 12 mei 2020 @ 15:59\nijs_beer dinsdag 12 mei 2020 @ 16:01\nAoibhin dinsdag 12 mei 2020 @ 16:03\nEm31 dinsdag 12 mei 2020 @ 16:13\nAoibhin dinsdag 12 mei 2020 @ 16:15\nijs_beer dinsdag 12 mei 2020 @ 16:21\nStrani dinsdag 12 mei 2020 @ 16:21\nAoibhin dinsdag 12 mei 2020 @ 16:21\nStrani dinsdag 12 mei 2020 @ 16:22\nijs_beer dinsdag 12 mei 2020 @ 16:22\nStrani dinsdag 12 mei 2020 @ 16:24\nijs_beer dinsdag 12 mei 2020 @ 16:26\nStrani dinsdag 12 mei 2020 @ 16:27\nAoibhin dinsdag 12 mei 2020 @ 16:31\nEm31 dinsdag 12 mei 2020 @ 16:33\nHawaii_Tim dinsdag 12 mei 2020 @ 16:34\nijs_beer dinsdag 12 mei 2020 @ 16:35\nHawaii_Tim dinsdag 12 mei 2020 @ 17:25\nAoibhin dinsdag 12 mei 2020 @ 17:31\nHawaii_Tim dinsdag 12 mei 2020 @ 17:33\nCee dinsdag 12 mei 2020 @ 17:36\nAoibhin dinsdag 12 mei 2020 @ 17:36\nAoibhin dinsdag 12 mei 2020 @ 17:37\nStrani dinsdag 12 mei 2020 @ 17:41\nFascination dinsdag 12 mei 2020 @ 17:42\nArizona dinsdag 12 mei 2020 @ 17:44\nijs_beer dinsdag 12 mei 2020 @ 17:45\nAoibhin dinsdag 12 mei 2020 @ 18:03\nAoibhin dinsdag 12 mei 2020 @ 18:12\nFred_B dinsdag 12 mei 2020 @ 18:13\nFascination dinsdag 12 mei 2020 @ 18:14\nFred_B dinsdag 12 mei 2020 @ 18:18\nStrani dinsdag 12 mei 2020 @ 18:25\nHawaii_Tim dinsdag 12 mei 2020 @ 18:27\nStrani dinsdag 12 mei 2020 @ 18:28\nAoibhin dinsdag 12 mei 2020 @ 18:34\nEm31 dinsdag 12 mei 2020 @ 18:45\nEm31 dinsdag 12 mei 2020 @ 18:46\nAoibhin dinsdag 12 mei 2020 @ 18:47\nEm31 dinsdag 12 mei 2020 @ 18:48\nAoibhin dinsdag 12 mei 2020 @ 18:51\nStrani dinsdag 12 mei 2020 @ 18:51\nAoibhin dinsdag 12 mei 2020 @ 18:52\nEm31 dinsdag 12 mei 2020 @ 18:55\nStrani dinsdag 12 mei 2020 @ 18:59\nEm31 dinsdag 12 mei 2020 @ 19:00\nFascination dinsdag 12 mei 2020 @ 19:01\nAoibhin dinsdag 12 mei 2020 @ 19:02\nAoibhin dinsdag 12 mei 2020 @ 19:03\nEm31 dinsdag 12 mei 2020 @ 19:03\nAoibhin dinsdag 12 mei 2020 @ 19:05\nStrani dinsdag 12 mei 2020 @ 19:05\nEm31 dinsdag 12 mei 2020 @ 19:06\nStrani dinsdag 12 mei 2020 @ 19:07\nEm31 dinsdag 12 mei 2020 @ 19:09\nAoibhin dinsdag 12 mei 2020 @ 19:10\nEm31 dinsdag 12 mei 2020 @ 19:10\nStrani dinsdag 12 mei 2020 @ 19:11\nBeetje zoals Angela\nMeke dinsdag 12 mei 2020 @ 19:12\nStrani dinsdag 12 mei 2020 @ 19:12\nAoibhin dinsdag 12 mei 2020 @ 19:13\nEm31 dinsdag 12 mei 2020 @ 19:13\nMeke dinsdag 12 mei 2020 @ 19:13\nEm31 dinsdag 12 mei 2020 @ 19:14\nMeke dinsdag 12 mei 2020 @ 19:14\nAoibhin dinsdag 12 mei 2020 @ 19:15\nMeke dinsdag 12 mei 2020 @ 19:15\nMeke dinsdag 12 mei 2020 @ 19:16\nStrani dinsdag 12 mei 2020 @ 19:16\nEm31 dinsdag 12 mei 2020 @ 19:17\nAoibhin dinsdag 12 mei 2020 @ 19:17\nAoibhin dinsdag 12 mei 2020 @ 19:18


Grenoble Alpes Universiteit - Study yn Frankryk. EducationBro\nStêd : Grenoble\noprjochte : 1339\nstudinten (ca..) : 45000\nFerjit net discuss Grenoble Alpes University\nDe Université Grenoble Alpes (FROM) is in wiidweidige universitêre oanbod hege-kwaliteit oplieding yn alle akademyske dissiplines en op alle nivo : undergraduate, master fan, doktoraal, likegoed as sertifikaat programma en learling útwikseling.\nDe UGA leit yn Grenoble, in ynternasjonale stêd en in prachtich plak om te wenjen, wurk, en stúdzje. Ferskûle yn de Alpen, Grenoble wille fan in ûnferjitlike natuerlike ynstelling, mei mooglikheden foar sport leafhawwers en natuer leafhawwers gelyk. Grenoble ek partisipearret yn Frankryk fan goede libben, it oanbieden fan in grut ferskaat oan kulturele eveneminten, in libbene útgeanslibben, en hûnderten restaurants foar dyjingen dy't te Sample Frankryk fan wrâld-ferneamde cuisine. Frânsk en ynternasjonale studinten binne dwaande en bewust: studinten sille hawwe gjin muoite finen organisaasjes en aktiviteiten dy't ta oan harren.\nIn iepenbiere universiteit, de UGA omearmet Frankryk fan wearden foar heger ûnderwiis.\nDe universiteit waard stifte yn 1339 by Dauphin Humbert II of Viennois and Pope Benedict XII to teach civil and canon law, medicine, and the liberal arts. lykwols, the institution lacked resources and dissipated after the death of Humbert II. It was reestablished in 1542 by Francis de Bourbon, Count of St. Pol and united with University of Valence in 1565. The residents of Grenoble unsuccessfully attempted to reestablish the university several times in the 16th and 17th centuries.\nNapoleon I reestablished faculties of law, letters, and science in 1805–1808. During the Bourbon Restoration, the Faculty of Letters was suppressed in 1815 (reintroduced in 1847) and the Faculty of Law in 1818 (reintroduced 1824). The School of Pharmacy and Medicine was established in 1866 and became the fourth faculty in 1894. lykwols, at the time the school had just a few students and conferred only a handful degrees. The development of the sciences at the university was spearheaded by the transformation of Grenoble from an isolated mountain town to a major supplier of industrial motors and electrical equipment in 1880s. The faculties were formally inaugurated as the University of Grenoble in 1879 in the newly constructed Place de Verdun. The number of students grew from around 340 yn 1868 nei 3000 yn 1930. A concept of Établissement public à caractère scientifique, culturel et professionnel (EPCSP) evolved under Minister of Education Edgar Faure. Dêrtroch, the university was split into several independent organizations in 1970.\nWolsto discuss Grenoble Alpes University ? Hokker fraach dan ek, opmerkingen of beoordelingen\nPhotos: Grenoble Alpes Universiteit offisjele Facebook


Tipard Mod Converter Mate for Mac Convert any to mp4 :: Tipard Mod Converter Mate for Mac 3.6.08 free download\nNavigation » Tipard Studio » download Tipard Mod Converter Mate for Mac free\nClick to RATE : Tipard Mod Converter Mate for Mac 3.6.08Rip DVD Mac or copy DVD to all popular video and audio formats.\nTipard Mod Converter Mate for Mac 3.6.08 facilities VendorTipard StudioChina100080 BeijingVendor`s Webhttp://www.tipard.comOSMac OSLimitationsInstall and UninstallActualizedmore than year agoDownloads449LocalizedEnglishLicenseFree to trySnapshotTipard Mod Converter Mate for Mac snapshot\nUse this security logo:

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CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libdvdcss.2.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libdvdcss.2.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfmpegWrapper.1.0.0.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfmpegWrapper.1.0.0.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfmpegWrapper.1.0.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfmpegWrapper.1.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfmpegWrapper.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfProfile.1.0.0.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfProfile.1.0.0.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfProfile.1.0.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfProfile.1.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfProfile.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfVideoEditor.1.0.0.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfVideoEditor.1.0.0.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfVideoEditor.1.0.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfVideoEditor.1.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfVideoEditor.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFramework.1.0.0.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFramework.1.0.0.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFramework.1.0.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFramework.1.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFramework.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libMain.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libpreview.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libpreview.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libQtEncoder.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libQtEncoder.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libswscale.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libswscale.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libVideoConverter.1.0.0.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libVideoConverter.1.0.0.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libVideoConverter.1.0.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libVideoConverter.1.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » Loader - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » Loader » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » machineInfo.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » machineInfo.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » app.icns - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » empty.lproj - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » qt.conf - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » app.icns - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » app.png - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libavcodec.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libavcodec.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libavdevice.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libavdevice.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libavformat.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libavformat.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libavutil.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libavutil.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libCommonCtrls.1.0.0.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libCommonCtrls.1.0.0.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libCommonCtrls.1.0.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libCommonCtrls.1.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libCommonCtrls.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libconvert.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libconvert.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libdvdcss.2.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libdvdcss.2.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfmpegWrapper.1.0.0.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfmpegWrapper.1.0.0.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfmpegWrapper.1.0.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfmpegWrapper.1.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfmpegWrapper.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfProfile.1.0.0.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfProfile.1.0.0.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfProfile.1.0.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfProfile.1.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfProfile.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfVideoEditor.1.0.0.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfVideoEditor.1.0.0.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfVideoEditor.1.0.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfVideoEditor.1.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfVideoEditor.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFramework.1.0.0.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFramework.1.0.0.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFramework.1.0.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFramework.1.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFramework.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libMain.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libpreview.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libpreview.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libQtEncoder.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libQtEncoder.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libswscale.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libswscale.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libVideoConverter.1.0.0.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libVideoConverter.1.0.0.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libVideoConverter.1.0.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libVideoConverter.1.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » Loader - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » Loader » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » machineInfo.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » machineInfo.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » app.icns - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » empty.lproj - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » qt.conf - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfConverter.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfConverter.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfDVDInfo.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfDVDInfo.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfPreview.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfPreview.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libx264-baseline.ffpreset - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libx264-default.ffpreset - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libx264-hq.ffpreset - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libx264-ipod640.ffpreset - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » de.rcc - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » en.rcc - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » fr.rcc - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » ja.rcc - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » product.data - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » profile.data - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » ClassicGrey.rcc - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqtaccessiblewidgets.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqtaccessiblewidgets.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqcncodecs.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqcncodecs.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqjpcodecs.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqjpcodecs.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqkrcodecs.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqkrcodecs.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqtwcodecs.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqtwcodecs.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqtracegraphicssystem.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqtracegraphicssystem.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqgif.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqgif.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqico.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqico.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqjpeg.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqjpeg.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqmng.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqmng.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqtiff.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqtiff.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libphonon_qt7.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libphonon_qt7.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqsqlite.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqsqlite.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqsqlodbc.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqsqlodbc.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqsqlpsql.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqsqlpsql.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » InfoPlist.strings - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » InfoPlist.strings - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » InfoPlist.strings - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » help.html - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » InfoPlist.strings - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfConverter.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfConverter.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfDVDInfo.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfDVDInfo.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfPreview.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libFfPreview.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libx264-baseline.ffpreset - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libx264-default.ffpreset - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libx264-hq.ffpreset - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libx264-ipod640.ffpreset - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » de.rcc - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » en.rcc - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » fr.rcc - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » ja.rcc - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » product.data - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » profile.data - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » ClassicGrey.rcc - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqtaccessiblewidgets.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqtaccessiblewidgets.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqcncodecs.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqcncodecs.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqjpcodecs.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqjpcodecs.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqkrcodecs.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqkrcodecs.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqtwcodecs.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqtwcodecs.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqtracegraphicssystem.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqtracegraphicssystem.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqgif.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqgif.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqico.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqico.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqjpeg.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqjpeg.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqmng.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqmng.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqtiff.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqtiff.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libphonon_qt7.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libphonon_qt7.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqsqlite.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqsqlite.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqsqlodbc.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqsqlodbc.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqsqlpsql.dylib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » libqsqlpsql.dylib » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » InfoPlist.strings - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » InfoPlist.strings - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » InfoPlist.strings - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » help.html - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » InfoPlist.strings - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » interface.jpg - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » line.jpg - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » line2.jpg - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » title.jpg - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » total-media-converter-sc-1.jpg - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » video-converter-for-mac-sc-1.jpg - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » dvd-ripper-for-mac-sc-1.jpg - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » interface.jpg - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » line.jpg - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » line2.jpg - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » title.jpg - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » video-converter-sc-1.jpg - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » phonon - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » phonon » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtCore - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtCore » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtDBus - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtDBus » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » classes.nib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » info.nib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » keyedobjects.nib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtGui - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtGui » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtNetwork - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtNetwork » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtOpenGL - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtOpenGL » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtSql - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtSql » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtWebKit - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtWebKit » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtXml - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtXml » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtXmlPatterns - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtXmlPatterns » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » phonon - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » phonon » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtCore - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtCore » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtDBus - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtDBus » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » classes.nib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » info.nib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » keyedobjects.nib - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtGui - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtGui » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtNetwork - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtNetwork » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtOpenGL - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtOpenGL » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtSql - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtSql » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtWebKit - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtWebKit » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtXml - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtXml » FAT » file0000 - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtXmlPatterns - CLEAN mod-converter-mate.dmg » DMG » 2.hfs » HFS » QtXmlPatterns » FAT » file0000 - CLEAN\n

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