IlyasMoutawwakil HF staff commited on
Commit
6c0fb28
·
verified ·
1 Parent(s): a19b3c8

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
@@ -73,14 +73,14 @@
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
- "cpu_ram_mb": 16757.342208,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
- "optimum_benchmark_commit": "9ea4940f8d12769fd995efb985434836fb19b72f",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.34.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 945.618944,
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": 4.51104206499997,
112
- "mean": 4.51104206499997,
113
  "stdev": 0.0,
114
- "p50": 4.51104206499997,
115
- "p90": 4.51104206499997,
116
- "p95": 4.51104206499997,
117
- "p99": 4.51104206499997,
118
  "values": [
119
- 4.51104206499997
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 4.8341750450000465e-05,
126
- "ram": 2.0204568937334308e-06,
127
  "gpu": 0,
128
- "total": 5.0362207343733894e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 956.235776,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -140,52 +140,54 @@
140
  },
141
  "latency": {
142
  "unit": "s",
143
- "count": 21,
144
- "total": 1.007929395000076,
145
- "mean": 0.04799663785714648,
146
- "stdev": 0.0009670385687094054,
147
- "p50": 0.04808444100001452,
148
- "p90": 0.0493881859999874,
149
- "p95": 0.04941956499999378,
150
- "p99": 0.049559890600016844,
151
  "values": [
152
- 0.04893400800000336,
153
- 0.04735318600000937,
154
- 0.04732072500002005,
155
- 0.04903320299996494,
156
- 0.0493881859999874,
157
- 0.048242095000034624,
158
- 0.04726834600000984,
159
- 0.046774664999986726,
160
- 0.04941956499999378,
161
- 0.04785372999998572,
162
- 0.04822192799997538,
163
- 0.046488319999980376,
164
- 0.04959497200002261,
165
- 0.04828778100005593,
166
- 0.04895974600003683,
167
- 0.04808444100001452,
168
- 0.04671997299999475,
169
- 0.047484781000036946,
170
- 0.04837180699996679,
171
- 0.047797494999997525,
172
- 0.046330441999998584
 
 
173
  ]
174
  },
175
  "throughput": {
176
  "unit": "samples/s",
177
- "value": 20.83479269894536
178
  },
179
  "energy": {
180
  "unit": "kWh",
181
- "cpu": 1.5599109679999783e-06,
182
- "ram": 6.519202547718535e-08,
183
  "gpu": 0.0,
184
- "total": 1.6251029934771636e-06
185
  },
186
  "efficiency": {
187
  "unit": "samples/kWh",
188
- "value": 615345.6144095474
189
  }
190
  }
191
  }
 
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
+ "cpu_ram_mb": 16757.338112,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "8e57994b5ce38f2b6b651d101ec502f7ee7fbb9a",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.34.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 946.671616,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.507309443999986,
112
+ "mean": 4.507309443999986,
113
  "stdev": 0.0,
114
+ "p50": 4.507309443999986,
115
+ "p90": 4.507309443999986,
116
+ "p95": 4.507309443999986,
117
+ "p99": 4.507309443999986,
118
  "values": [
119
+ 4.507309443999986
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 4.811920127777841e-05,
126
+ "ram": 2.0111261866330314e-06,
127
  "gpu": 0,
128
+ "total": 5.0130327464411445e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 957.288448,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
140
  },
141
  "latency": {
142
  "unit": "s",
143
+ "count": 23,
144
+ "total": 1.0175274939998076,
145
+ "mean": 0.04424032582607859,
146
+ "stdev": 0.0009786033449007722,
147
+ "p50": 0.04397690299998658,
148
+ "p90": 0.045753284399984294,
149
+ "p95": 0.046444834799973474,
150
+ "p99": 0.046874927259977994,
151
  "values": [
152
+ 0.044216549999987365,
153
+ 0.04404357800001435,
154
+ 0.045115086000009796,
155
+ 0.04362193100001832,
156
+ 0.043815040999959365,
157
+ 0.04591283399997792,
158
+ 0.04399309499996207,
159
+ 0.04345804799999087,
160
+ 0.04332128199996532,
161
+ 0.04361417800004119,
162
+ 0.043721607000009044,
163
+ 0.04422984500001803,
164
+ 0.04490580599997429,
165
+ 0.04364181800002598,
166
+ 0.04371806099999276,
167
+ 0.04397690299998658,
168
+ 0.04697956299997941,
169
+ 0.04431701799995835,
170
+ 0.043563884000036524,
171
+ 0.04346100199995817,
172
+ 0.04334249099997578,
173
+ 0.04405392699999311,
174
+ 0.046503945999972984
175
  ]
176
  },
177
  "throughput": {
178
  "unit": "samples/s",
179
+ "value": 22.60381182388409
180
  },
181
  "energy": {
182
  "unit": "kWh",
183
+ "cpu": 1.671634126620321e-06,
184
+ "ram": 6.986077376195908e-08,
185
  "gpu": 0.0,
186
+ "total": 1.74149490038228e-06
187
  },
188
  "efficiency": {
189
  "unit": "samples/kWh",
190
+ "value": 574219.3099620834
191
  }
192
  }
193
  }