IlyasMoutawwakil HF staff commited on
Commit
d7f9ea9
·
verified ·
1 Parent(s): dfb82a0

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": 16757.338112,
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": "b437841d8ac0f8671c66ca6a8aa4cc123563284f",
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": 944.25088,
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": 4.2536811360000115,
112
- "mean": 4.2536811360000115,
113
  "stdev": 0.0,
114
- "p50": 4.2536811360000115,
115
- "p90": 4.2536811360000115,
116
- "p95": 4.2536811360000115,
117
- "p99": 4.2536811360000115,
118
  "values": [
119
- 4.2536811360000115
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 4.855130980000095e-05,
126
- "ram": 2.029216841396122e-06,
127
  "gpu": 0,
128
- "total": 5.058052664139707e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 954.916864,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -140,54 +140,53 @@
140
  },
141
  "latency": {
142
  "unit": "s",
143
- "count": 23,
144
- "total": 1.0146380149999459,
145
- "mean": 0.044114696304345474,
146
- "stdev": 0.0015587406471895954,
147
- "p50": 0.04436225699998886,
148
- "p90": 0.04530344940002351,
149
- "p95": 0.04558181300002957,
150
- "p99": 0.046570358399997076,
151
  "values": [
152
- 0.044723990000022695,
153
- 0.043897930000014185,
154
- 0.04294911200003071,
155
- 0.04561241700002938,
156
- 0.044827644000008604,
157
- 0.044784753999977056,
158
- 0.04368075500002533,
159
- 0.042759398999976383,
160
- 0.044217435999996724,
161
- 0.045291738999992504,
162
- 0.04424729199996591,
163
- 0.04436225699998886,
164
- 0.042925787999990916,
165
- 0.046840546999987964,
166
- 0.04448135899997396,
167
- 0.04530637700003126,
168
- 0.04460894699997198,
169
- 0.04350049999999328,
170
- 0.04415857699996195,
171
- 0.04525814700002684,
172
- 0.044716426000036336,
173
- 0.04319090499996037,
174
- 0.03829571699998269
175
  ]
176
  },
177
  "throughput": {
178
  "unit": "samples/s",
179
- "value": 22.66818280014989
180
  },
181
  "energy": {
182
  "unit": "kWh",
183
- "cpu": 1.4787146672839556e-06,
184
- "ram": 6.179925566805476e-08,
185
  "gpu": 0.0,
186
- "total": 1.5405139229520104e-06
187
  },
188
  "efficiency": {
189
  "unit": "samples/kWh",
190
- "value": 649134.0228095761
191
  }
192
  }
193
  }
 
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": "ac20e608e7d228c8f586461f4e0b478593db397e",
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": 947.822592,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.301356989999988,
112
+ "mean": 4.301356989999988,
113
  "stdev": 0.0,
114
+ "p50": 4.301356989999988,
115
+ "p90": 4.301356989999988,
116
+ "p95": 4.301356989999988,
117
+ "p99": 4.301356989999988,
118
  "values": [
119
+ 4.301356989999988
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 4.857708558888906e-05,
126
+ "ram": 2.03029271404623e-06,
127
  "gpu": 0,
128
+ "total": 5.060737830293529e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 958.570496,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
140
  },
141
  "latency": {
142
  "unit": "s",
143
+ "count": 22,
144
+ "total": 1.004504519999955,
145
+ "mean": 0.04565929636363431,
146
+ "stdev": 0.0012997398896746047,
147
+ "p50": 0.04595714749999047,
148
+ "p90": 0.04676499919998491,
149
+ "p95": 0.04691551104996563,
150
+ "p99": 0.047140952870005325,
151
  "values": [
152
+ 0.04638091700002178,
153
+ 0.0450765790000105,
154
+ 0.04397162199995819,
155
+ 0.04692326599996477,
156
+ 0.04673648900001126,
157
+ 0.04597786599998699,
158
+ 0.045125890999997864,
159
+ 0.04379716800002598,
160
+ 0.0471988190000161,
161
+ 0.0462776040000108,
162
+ 0.0461255010000059,
163
+ 0.04552580600000056,
164
+ 0.046768166999981986,
165
+ 0.045789124999998876,
166
+ 0.04622102899998026,
167
+ 0.0464301389999946,
168
+ 0.04567994199999248,
169
+ 0.04500358299998197,
170
+ 0.04651159899998447,
171
+ 0.04590512200002195,
172
+ 0.04593642899999395,
173
+ 0.041141857000013715
 
174
  ]
175
  },
176
  "throughput": {
177
  "unit": "samples/s",
178
+ "value": 21.90134495363046
179
  },
180
  "energy": {
181
  "unit": "kWh",
182
+ "cpu": 1.535887824572653e-06,
183
+ "ram": 6.418835774932102e-08,
184
  "gpu": 0.0,
185
+ "total": 1.600076182321974e-06
186
  },
187
  "efficiency": {
188
  "unit": "samples/kWh",
189
+ "value": 624970.2426973416
190
  }
191
  }
192
  }