IlyasMoutawwakil HF staff commited on
Commit
857cf39
·
verified ·
1 Parent(s): ebfe468

Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub

Browse files
cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json CHANGED
@@ -80,7 +80,7 @@
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
- "optimum_benchmark_commit": "64616c22a81fbd56113ffbadbf137b852c35ed9d",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 945.82784,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -108,31 +108,31 @@
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
- "total": 4.470768648999979,
112
- "mean": 4.470768648999979,
113
  "stdev": 0.0,
114
- "p50": 4.470768648999979,
115
- "p90": 4.470768648999979,
116
- "p95": 4.470768648999979,
117
- "p99": 4.470768648999979,
118
  "values": [
119
- 4.470768648999979
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 5.141416186666719e-05,
126
- "ram": 2.1488893416625005e-06,
127
  "gpu": 0,
128
- "total": 5.356305120832969e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 956.706816,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -140,53 +140,55 @@
140
  },
141
  "latency": {
142
  "unit": "s",
143
- "count": 22,
144
- "total": 1.0423202260000721,
145
- "mean": 0.04737819209091237,
146
- "stdev": 0.0011495435618548624,
147
- "p50": 0.04757245349998129,
148
- "p90": 0.04877065120001021,
149
- "p95": 0.04900418005001654,
150
- "p99": 0.049270555320011906,
151
  "values": [
152
- 0.047433423000029507,
153
- 0.046994460999997045,
154
- 0.04647745099998701,
155
- 0.04933874400001059,
156
- 0.04825281900002665,
157
- 0.04762285799995425,
158
- 0.04607786200000419,
159
- 0.045063802000015585,
160
- 0.04901403600001686,
161
- 0.04881691700001056,
162
- 0.04804720399999951,
163
- 0.046791240000004564,
164
- 0.048354259000007005,
165
- 0.04752204900000834,
166
- 0.04763591299996506,
167
- 0.047966794000046775,
168
- 0.0471466050000231,
169
- 0.046842695999998796,
170
- 0.0477011149999953,
171
- 0.04713487399999394,
172
- 0.04768547599996964,
173
- 0.04439962800000785
 
 
174
  ]
175
  },
176
  "throughput": {
177
  "unit": "samples/s",
178
- "value": 21.10675726252143
179
  },
180
  "energy": {
181
  "unit": "kWh",
182
- "cpu": 1.592411888666599e-06,
183
- "ram": 6.655017347132729e-08,
184
  "gpu": 0.0,
185
- "total": 1.6589620621379263e-06
186
  },
187
  "efficiency": {
188
  "unit": "samples/kWh",
189
- "value": 602786.5391395912
190
  }
191
  }
192
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "38f0318f4feebeb8f77039a7ad46d326574675d5",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 945.844224,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.3794751539999766,
112
+ "mean": 4.3794751539999766,
113
  "stdev": 0.0,
114
+ "p50": 4.3794751539999766,
115
+ "p90": 4.3794751539999766,
116
+ "p95": 4.3794751539999766,
117
+ "p99": 4.3794751539999766,
118
  "values": [
119
+ 4.3794751539999766
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 4.8069621055555626e-05,
126
+ "ram": 2.00906040317796e-06,
127
  "gpu": 0,
128
+ "total": 5.007868145873358e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 956.461056,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
140
  },
141
  "latency": {
142
  "unit": "s",
143
+ "count": 24,
144
+ "total": 1.0139590529998372,
145
+ "mean": 0.042248293874993216,
146
+ "stdev": 0.0013084529393450404,
147
+ "p50": 0.04190829199998802,
148
+ "p90": 0.04396747550001123,
149
+ "p95": 0.04534563750002576,
150
+ "p99": 0.0458792743299665,
151
  "values": [
152
+ 0.04217317899997397,
153
+ 0.04128578799998195,
154
+ 0.041090290999989065,
155
+ 0.04122371099998645,
156
+ 0.041228880999995,
157
+ 0.042225175999988096,
158
+ 0.04396192799998744,
159
+ 0.0421527009999636,
160
+ 0.041423675999965326,
161
+ 0.04189543799998319,
162
+ 0.041075791000025674,
163
+ 0.04152538599998934,
164
+ 0.04160365300003832,
165
+ 0.041167434999977104,
166
+ 0.042090223000002425,
167
+ 0.04197026800000003,
168
+ 0.04223780000000943,
169
+ 0.04192114599999286,
170
+ 0.041729787999997825,
171
+ 0.04295875999997634,
172
+ 0.04558842300002652,
173
+ 0.04596615199994858,
174
+ 0.04396985300002143,
175
+ 0.04149360600001728
176
  ]
177
  },
178
  "throughput": {
179
  "unit": "samples/s",
180
+ "value": 23.669594870715013
181
  },
182
  "energy": {
183
  "unit": "kWh",
184
+ "cpu": 1.6116245600000086e-06,
185
+ "ram": 6.735372276045867e-08,
186
  "gpu": 0.0,
187
+ "total": 1.678978282760467e-06
188
  },
189
  "efficiency": {
190
  "unit": "samples/kWh",
191
+ "value": 595600.3185198233
192
  }
193
  }
194
  }