Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
0acdfb4
•
1 Parent(s): 9f42ab4

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

Browse files
Files changed (1) hide show
  1. cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json +55 -54
cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json CHANGED
@@ -80,7 +80,7 @@
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.3.1",
83
- "optimum_benchmark_commit": "aa06eb5e1bf688ecb03b7568e9e816d4af962b61",
84
  "transformers_version": "4.43.3",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 947.351552,
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": 4.4872791479999705,
112
- "mean": 4.4872791479999705,
113
  "stdev": 0.0,
114
- "p50": 4.4872791479999705,
115
- "p90": 4.4872791479999705,
116
- "p95": 4.4872791479999705,
117
- "p99": 4.4872791479999705,
118
  "values": [
119
- 4.4872791479999705
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 4.790119462543064e-05,
126
- "ram": 2.002014612979792e-06,
127
  "gpu": 0,
128
- "total": 4.990320923841043e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 954.822656,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -140,59 +140,60 @@
140
  },
141
  "latency": {
142
  "unit": "s",
143
- "count": 28,
144
- "total": 1.0127959930000543,
145
- "mean": 0.036171285464287654,
146
- "stdev": 0.0008228162036742134,
147
- "p50": 0.03610063350001269,
148
- "p90": 0.0370772057000238,
149
- "p95": 0.03738659010000731,
150
- "p99": 0.0382105615700101,
151
  "values": [
152
- 0.03622958400001153,
153
- 0.03615506500000265,
154
- 0.035549793000029695,
155
- 0.034762030000024424,
156
- 0.037210457000014685,
157
- 0.03622137899998279,
158
- 0.036939961999962634,
159
- 0.03635591099998692,
160
- 0.035878183000022545,
161
- 0.03507563099998379,
162
- 0.03545152499998494,
163
- 0.03669502000002467,
164
- 0.036130435000018224,
165
- 0.03607083200000716,
166
- 0.03601599000000988,
167
- 0.03472904299997026,
168
- 0.0355898830000001,
169
- 0.03596247999996649,
170
- 0.035937042000000474,
171
- 0.03638386900001933,
172
- 0.035930759999985185,
173
- 0.0370200980000277,
174
- 0.03499338699998589,
175
- 0.03587398500002337,
176
- 0.036759971999970276,
177
- 0.03691200600002276,
178
- 0.03748143100000334,
179
- 0.0384802400000126
 
180
  ]
181
  },
182
  "throughput": {
183
  "unit": "samples/s",
184
- "value": 27.646238920298035
185
  },
186
  "energy": {
187
  "unit": "kWh",
188
- "cpu": 1.217658610807525e-06,
189
- "ram": 5.0888279790370915e-08,
190
  "gpu": 0.0,
191
- "total": 1.2685468905978958e-06
192
  },
193
  "efficiency": {
194
  "unit": "samples/kWh",
195
- "value": 788303.5364413504
196
  }
197
  }
198
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.3.1",
83
+ "optimum_benchmark_commit": "c8d76f6e24e813974534bb204a76658d503b7b1f",
84
  "transformers_version": "4.43.3",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 947.769344,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.419975738000005,
112
+ "mean": 4.419975738000005,
113
  "stdev": 0.0,
114
+ "p50": 4.419975738000005,
115
+ "p90": 4.419975738000005,
116
+ "p95": 4.419975738000005,
117
+ "p99": 4.419975738000005,
118
  "values": [
119
+ 4.419975738000005
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 4.911764992607965e-05,
126
+ "ram": 2.0528739687620144e-06,
127
  "gpu": 0,
128
+ "total": 5.117052389484166e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 955.240448,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
140
  },
141
  "latency": {
142
  "unit": "s",
143
+ "count": 29,
144
+ "total": 1.0182043530000442,
145
+ "mean": 0.035110494931036004,
146
+ "stdev": 0.002462016161098468,
147
+ "p50": 0.03652064400000654,
148
+ "p90": 0.03728763379999691,
149
+ "p95": 0.03764727219996757,
150
+ "p99": 0.037733817559999355,
151
  "values": [
152
+ 0.03324946899999759,
153
+ 0.0316814979999549,
154
+ 0.03135854800001425,
155
+ 0.03137076100000513,
156
+ 0.034912317000021176,
157
+ 0.037738906000015504,
158
+ 0.03772073299995782,
159
+ 0.036881584000013845,
160
+ 0.03695430900000929,
161
+ 0.03657993400003079,
162
+ 0.03668972799999892,
163
+ 0.03753708099998221,
164
+ 0.03718972600000825,
165
+ 0.03692672800002583,
166
+ 0.036872977999962586,
167
+ 0.03668621100001701,
168
+ 0.036466503000042394,
169
+ 0.03722527200000059,
170
+ 0.03672335099997781,
171
+ 0.03593020699997851,
172
+ 0.036549718000003395,
173
+ 0.03582832799997959,
174
+ 0.03652064400000654,
175
+ 0.036048746999995274,
176
+ 0.031571563999989394,
177
+ 0.031137888000046132,
178
+ 0.03039874600000303,
179
+ 0.03171894799999109,
180
+ 0.031733926000015344
181
  ]
182
  },
183
  "throughput": {
184
  "unit": "samples/s",
185
+ "value": 28.481512492609372
186
  },
187
  "energy": {
188
  "unit": "kWh",
189
+ "cpu": 1.1981560726358434e-06,
190
+ "ram": 5.007330867990525e-08,
191
  "gpu": 0.0,
192
+ "total": 1.2482293813157488e-06
193
  },
194
  "efficiency": {
195
  "unit": "samples/kWh",
196
+ "value": 801134.8034012049
197
  }
198
  }
199
  }