IlyasMoutawwakil HF staff commited on
Commit
e7f7c02
1 Parent(s): 0840b4f

Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub

Browse files
cpu_inference_transformers_text-classification_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": 16766.767104,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.15",
82
  "optimum_benchmark_version": "0.4.0",
83
- "optimum_benchmark_commit": "c48d602cd7a21df41cc07305fa12549ed74a7e13",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.34.2",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 941.723648,
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": 4.2755593349999685,
112
- "mean": 4.2755593349999685,
113
  "stdev": 0.0,
114
- "p50": 4.2755593349999685,
115
- "p90": 4.2755593349999685,
116
- "p95": 4.2755593349999685,
117
- "p99": 4.2755593349999685,
118
  "values": [
119
- 4.2755593349999685
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 4.8700217183334696e-05,
126
- "ram": 2.0365869439343606e-06,
127
  "gpu": 0,
128
- "total": 5.0736804127269054e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 949.325824,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -140,60 +140,61 @@
140
  },
141
  "latency": {
142
  "unit": "s",
143
- "count": 29,
144
- "total": 1.0067317070000286,
145
- "mean": 0.03471488644827685,
146
- "stdev": 0.0008017070258343413,
147
- "p50": 0.03482737100000577,
148
- "p90": 0.035524587400016114,
149
- "p95": 0.03564627199999677,
150
- "p99": 0.03588348551998706,
151
  "values": [
152
- 0.03515601499998411,
153
- 0.03479618199997958,
154
- 0.03551145900001984,
155
- 0.03283940899996196,
156
- 0.03595780199998444,
157
- 0.03477768800001968,
158
- 0.03450546999999915,
159
- 0.03442676299999903,
160
- 0.03537017500002548,
161
- 0.034564981000016815,
162
- 0.03350709500000448,
163
- 0.03540269600000556,
164
- 0.035109347000002344,
165
- 0.03482737100000577,
166
- 0.03434432899996409,
167
- 0.035005492999971466,
168
- 0.033605550000004314,
169
- 0.03557710100000122,
170
- 0.03409815900005242,
171
- 0.034844732999999906,
172
- 0.035366006000003836,
173
- 0.03467579799996656,
174
- 0.034916007000049376,
175
- 0.0339767329999745,
176
- 0.03525894699998844,
177
- 0.035331702999997106,
178
- 0.0356923859999938,
179
- 0.034766878000027646,
180
- 0.032519431000025634
 
181
  ]
182
  },
183
  "throughput": {
184
  "unit": "samples/s",
185
- "value": 28.80608587010479
186
  },
187
  "energy": {
188
  "unit": "kWh",
189
- "cpu": 1.172601224346432e-06,
190
- "ram": 4.902792639721966e-08,
191
  "gpu": 0.0,
192
- "total": 1.2216291507436517e-06
193
  },
194
  "efficiency": {
195
  "unit": "samples/kWh",
196
- "value": 818579.0257143605
197
  }
198
  }
199
  }
 
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
+ "cpu_ram_mb": 16766.7712,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.15",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "a3e25e2e7229ba1e55a72075d7d45c46907c5f56",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.34.2",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 939.380736,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.411303403999966,
112
+ "mean": 4.411303403999966,
113
  "stdev": 0.0,
114
+ "p50": 4.411303403999966,
115
+ "p90": 4.411303403999966,
116
+ "p95": 4.411303403999966,
117
+ "p99": 4.411303403999966,
118
  "values": [
119
+ 4.411303403999966
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 4.8582903483333934e-05,
126
+ "ram": 2.0316837823075553e-06,
127
  "gpu": 0,
128
+ "total": 5.061458726564149e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 947.113984,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
140
  },
141
  "latency": {
142
  "unit": "s",
143
+ "count": 30,
144
+ "total": 1.026164209000001,
145
+ "mean": 0.034205473633333365,
146
+ "stdev": 0.0021915330058969824,
147
+ "p50": 0.035428902500001414,
148
+ "p90": 0.036669601900035785,
149
+ "p95": 0.03679016454998703,
150
+ "p99": 0.03685829273999332,
151
  "values": [
152
+ 0.032471671999985574,
153
+ 0.032481499999960306,
154
+ 0.03270471799999086,
155
+ 0.031628941000008126,
156
+ 0.031977915000027224,
157
+ 0.03164038199997776,
158
+ 0.03131309799999826,
159
+ 0.03268909899998107,
160
+ 0.031721924999999374,
161
+ 0.031132880000029672,
162
+ 0.0313448580000113,
163
+ 0.03144330199995693,
164
+ 0.03095114000001331,
165
+ 0.03405964899997116,
166
+ 0.03612409099997649,
167
+ 0.03559869599996546,
168
+ 0.035530207000022074,
169
+ 0.0358965640000406,
170
+ 0.03596277799999825,
171
+ 0.035539616000050955,
172
+ 0.0368264890000205,
173
+ 0.03652175700000271,
174
+ 0.03600879500004339,
175
+ 0.03632795400000077,
176
+ 0.03532759799998075,
177
+ 0.03687128299998221,
178
+ 0.03666113900004575,
179
+ 0.03674576799994611,
180
+ 0.03634465499999351,
181
+ 0.03631574000002047
182
  ]
183
  },
184
  "throughput": {
185
  "unit": "samples/s",
186
+ "value": 29.235087071722234
187
  },
188
  "energy": {
189
  "unit": "kWh",
190
+ "cpu": 1.2405249244791943e-06,
191
+ "ram": 5.187294858729808e-08,
192
  "gpu": 0.0,
193
+ "total": 1.2923978730664924e-06
194
  },
195
  "efficiency": {
196
  "unit": "samples/kWh",
197
+ "value": 773755.5290363366
198
  }
199
  }
200
  }