IlyasMoutawwakil HF staff commited on
Commit
bcd8101
1 Parent(s): c99069e

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
@@ -74,14 +74,14 @@
74
  "environment": {
75
  "cpu": " AMD EPYC 7763 64-Core Processor",
76
  "cpu_count": 4,
77
- "cpu_ram_mb": 16757.342208,
78
  "system": "Linux",
79
  "machine": "x86_64",
80
  "platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35",
81
  "processor": "x86_64",
82
  "python_version": "3.10.14",
83
  "optimum_benchmark_version": "0.3.1",
84
- "optimum_benchmark_commit": "e9af750a2bec0e8b3a11d3bf5c5aa883075e8a03",
85
  "transformers_version": "4.42.4",
86
  "transformers_commit": null,
87
  "accelerate_version": "0.32.1",
@@ -100,7 +100,7 @@
100
  "load": {
101
  "memory": {
102
  "unit": "MB",
103
- "max_ram": 934.567936,
104
  "max_global_vram": null,
105
  "max_process_vram": null,
106
  "max_reserved": null,
@@ -109,31 +109,31 @@
109
  "latency": {
110
  "unit": "s",
111
  "count": 1,
112
- "total": 4.611255362999998,
113
- "mean": 4.611255362999998,
114
  "stdev": 0.0,
115
- "p50": 4.611255362999998,
116
- "p90": 4.611255362999998,
117
- "p95": 4.611255362999998,
118
- "p99": 4.611255362999998,
119
  "values": [
120
- 4.611255362999998
121
  ]
122
  },
123
  "throughput": null,
124
  "energy": {
125
  "unit": "kWh",
126
- "cpu": 5.0367984506818985e-05,
127
- "ram": 2.1051387309569237e-06,
128
  "gpu": 0,
129
- "total": 5.247312323777591e-05
130
  },
131
  "efficiency": null
132
  },
133
  "forward": {
134
  "memory": {
135
  "unit": "MB",
136
- "max_ram": 942.432256,
137
  "max_global_vram": null,
138
  "max_process_vram": null,
139
  "max_reserved": null,
@@ -141,56 +141,65 @@
141
  },
142
  "latency": {
143
  "unit": "s",
144
- "count": 25,
145
- "total": 1.0085932210000124,
146
- "mean": 0.040343728840000495,
147
- "stdev": 0.0009848327713546368,
148
- "p50": 0.0402852959999791,
149
- "p90": 0.04114301300002125,
150
- "p95": 0.042155921400024,
151
- "p99": 0.04281692060003934,
152
  "values": [
153
- 0.04082777899998291,
154
- 0.03964140300001873,
155
- 0.0402852959999791,
156
- 0.03947174699999323,
157
- 0.03991604599997345,
158
- 0.039956691999975646,
159
- 0.04294933100004528,
160
- 0.0404673349999598,
161
- 0.040702725000016926,
162
- 0.038549674000023515,
163
- 0.039758242000004884,
164
- 0.04118912300003785,
165
- 0.04061251699999957,
166
- 0.04027348400001074,
167
- 0.042397621000020536,
168
- 0.039469671999995626,
169
- 0.04089290000001711,
170
- 0.03968592700005047,
171
- 0.03982878299996173,
172
- 0.04065759100001287,
173
- 0.04074554599998237,
174
- 0.039944128999991335,
175
- 0.0383763399999566,
176
- 0.04091947000000573,
177
- 0.04107384799999636
 
 
 
 
 
 
 
 
 
178
  ]
179
  },
180
  "throughput": {
181
  "unit": "samples/s",
182
- "value": 24.786999832511956
183
  },
184
  "energy": {
185
  "unit": "kWh",
186
- "cpu": 1.3868073394015375e-06,
187
- "ram": 5.7956795828062994e-08,
188
  "gpu": 0.0,
189
- "total": 1.4447641352296007e-06
190
  },
191
  "efficiency": {
192
  "unit": "samples/kWh",
193
- "value": 692154.5016350235
194
  }
195
  }
196
  }
 
74
  "environment": {
75
  "cpu": " AMD EPYC 7763 64-Core Processor",
76
  "cpu_count": 4,
77
+ "cpu_ram_mb": 16757.338112,
78
  "system": "Linux",
79
  "machine": "x86_64",
80
  "platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35",
81
  "processor": "x86_64",
82
  "python_version": "3.10.14",
83
  "optimum_benchmark_version": "0.3.1",
84
+ "optimum_benchmark_commit": "e291e9b18cfb323457af60f15f2bb33803718668",
85
  "transformers_version": "4.42.4",
86
  "transformers_commit": null,
87
  "accelerate_version": "0.32.1",
 
100
  "load": {
101
  "memory": {
102
  "unit": "MB",
103
+ "max_ram": 936.853504,
104
  "max_global_vram": null,
105
  "max_process_vram": null,
106
  "max_reserved": null,
 
109
  "latency": {
110
  "unit": "s",
111
  "count": 1,
112
+ "total": 4.31217407500003,
113
+ "mean": 4.31217407500003,
114
  "stdev": 0.0,
115
+ "p50": 4.31217407500003,
116
+ "p90": 4.31217407500003,
117
+ "p95": 4.31217407500003,
118
+ "p99": 4.31217407500003,
119
  "values": [
120
+ 4.31217407500003
121
  ]
122
  },
123
  "throughput": null,
124
  "energy": {
125
  "unit": "kWh",
126
+ "cpu": 4.8222723272111683e-05,
127
+ "ram": 2.0154728440753425e-06,
128
  "gpu": 0,
129
+ "total": 5.023819611618703e-05
130
  },
131
  "efficiency": null
132
  },
133
  "forward": {
134
  "memory": {
135
  "unit": "MB",
136
+ "max_ram": 944.717824,
137
  "max_global_vram": null,
138
  "max_process_vram": null,
139
  "max_reserved": null,
 
141
  },
142
  "latency": {
143
  "unit": "s",
144
+ "count": 34,
145
+ "total": 1.023157963000017,
146
+ "mean": 0.03009288126470638,
147
+ "stdev": 0.0007942892155129165,
148
+ "p50": 0.02988608350000277,
149
+ "p90": 0.030995340999999142,
150
+ "p95": 0.0319531233500129,
151
+ "p99": 0.03256622392001532,
152
  "values": [
153
+ 0.03014047199997094,
154
+ 0.02989192899997306,
155
+ 0.02994065100000398,
156
+ 0.029808745000025283,
157
+ 0.030105327000001125,
158
+ 0.029827149000027475,
159
+ 0.029867795000029673,
160
+ 0.029789478999987296,
161
+ 0.02998455199997352,
162
+ 0.029875078999964444,
163
+ 0.030465117000005648,
164
+ 0.029880238000032477,
165
+ 0.02976411200000939,
166
+ 0.029947913999990305,
167
+ 0.029936692000035237,
168
+ 0.030324305000021923,
169
+ 0.029560693999997056,
170
+ 0.02967180999996799,
171
+ 0.03002539900001011,
172
+ 0.03278903200003924,
173
+ 0.031180768000012904,
174
+ 0.030178143000000546,
175
+ 0.03018373300000121,
176
+ 0.029694050999978572,
177
+ 0.030562677999967036,
178
+ 0.029792195000027277,
179
+ 0.02966910499998221,
180
+ 0.029708679000009397,
181
+ 0.032113855999966745,
182
+ 0.031866575000037756,
183
+ 0.029327248000015516,
184
+ 0.028959344999975656,
185
+ 0.02896605799998042,
186
+ 0.029359037999995508
187
  ]
188
  },
189
  "throughput": {
190
  "unit": "samples/s",
191
+ "value": 33.23045045782382
192
  },
193
  "energy": {
194
  "unit": "kWh",
195
+ "cpu": 1.1406305101182728e-06,
196
+ "ram": 4.766911254759927e-08,
197
  "gpu": 0.0,
198
+ "total": 1.1882996226658721e-06
199
  },
200
  "efficiency": {
201
  "unit": "samples/kWh",
202
+ "value": 841538.5992941458
203
  }
204
  }
205
  }