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": "
|
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.
|
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.
|
112 |
-
"mean": 4.
|
113 |
"stdev": 0.0,
|
114 |
-
"p50": 4.
|
115 |
-
"p90": 4.
|
116 |
-
"p95": 4.
|
117 |
-
"p99": 4.
|
118 |
"values": [
|
119 |
-
4.
|
120 |
]
|
121 |
},
|
122 |
"throughput": null,
|
123 |
"energy": {
|
124 |
"unit": "kWh",
|
125 |
-
"cpu":
|
126 |
-
"ram": 2.
|
127 |
"gpu": 0,
|
128 |
-
"total": 5.
|
129 |
},
|
130 |
"efficiency": null
|
131 |
},
|
132 |
"forward": {
|
133 |
"memory": {
|
134 |
"unit": "MB",
|
135 |
-
"max_ram": 956.
|
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":
|
144 |
-
"total": 1.
|
145 |
-
"mean": 0.
|
146 |
-
"stdev": 0.
|
147 |
-
"p50": 0.
|
148 |
-
"p90": 0.
|
149 |
-
"p95": 0.
|
150 |
-
"p99": 0.
|
151 |
"values": [
|
152 |
-
0.
|
153 |
-
0.
|
154 |
-
0.
|
155 |
-
0.
|
156 |
-
0.
|
157 |
-
0.
|
158 |
-
0.
|
159 |
-
0.
|
160 |
-
0.
|
161 |
-
0.
|
162 |
-
0.
|
163 |
-
0.
|
164 |
-
0.
|
165 |
-
0.
|
166 |
-
0.
|
167 |
-
0.
|
168 |
-
0.
|
169 |
-
0.
|
170 |
-
0.
|
171 |
-
0.
|
172 |
-
0.
|
173 |
-
0.
|
|
|
|
|
174 |
]
|
175 |
},
|
176 |
"throughput": {
|
177 |
"unit": "samples/s",
|
178 |
-
"value":
|
179 |
},
|
180 |
"energy": {
|
181 |
"unit": "kWh",
|
182 |
-
"cpu": 1.
|
183 |
-
"ram": 6.
|
184 |
"gpu": 0.0,
|
185 |
-
"total": 1.
|
186 |
},
|
187 |
"efficiency": {
|
188 |
"unit": "samples/kWh",
|
189 |
-
"value":
|
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 |
}
|