IlyasMoutawwakil HF staff commited on
Commit
1cbbf1d
1 Parent(s): 33780cd

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
@@ -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": "2c8ab57de1af767ec2e6a2cf774f52cea6a0db26",
84
  "transformers_version": "4.42.3",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.31.0",
@@ -99,7 +99,7 @@
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 941.268992,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -107,56 +107,55 @@
107
  },
108
  "latency": {
109
  "unit": "s",
110
- "count": 25,
111
- "total": 1.0013530350000792,
112
- "mean": 0.04005412140000317,
113
- "stdev": 0.000762520491494592,
114
- "p50": 0.040017745000000104,
115
- "p90": 0.040827633799983686,
116
- "p95": 0.04145684339999889,
117
- "p99": 0.0421759096799974,
118
  "values": [
119
- 0.04025628400000869,
120
- 0.04060086499998761,
121
- 0.040301368000029925,
122
- 0.039925268000047254,
123
- 0.04014229200004138,
124
- 0.04029168899995739,
125
- 0.03975844699999698,
126
- 0.03973129600001357,
127
- 0.04157635100000334,
128
- 0.0403620619999856,
129
- 0.04026501499998858,
130
- 0.03969077599998627,
131
- 0.040017745000000104,
132
- 0.0398137550000115,
133
- 0.0401052679999907,
134
- 0.040101700999969125,
135
- 0.04000555299995767,
136
- 0.03944343599999911,
137
- 0.040978812999981074,
138
- 0.04236524399999553,
139
- 0.03879555000003165,
140
- 0.038916605000054005,
141
- 0.039407399000026544,
142
- 0.039407319000019925,
143
- 0.039092933999995694
144
  ]
145
  },
146
  "throughput": {
147
  "unit": "samples/s",
148
- "value": 24.966219830749324
149
  },
150
  "energy": {
151
  "unit": "kWh",
152
- "cpu": 1.5441368787716598e-06,
153
- "ram": 6.453241756389616e-08,
154
  "gpu": 0.0,
155
- "total": 1.608669296335556e-06
156
  },
157
  "efficiency": {
158
  "unit": "samples/kWh",
159
- "value": 621631.8060386525
160
  }
161
  }
162
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.3.1",
83
+ "optimum_benchmark_commit": "8ebe8531a5b12ea7926cab66905381c76b24fcc4",
84
  "transformers_version": "4.42.3",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.31.0",
 
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 939.97056,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
107
  },
108
  "latency": {
109
  "unit": "s",
110
+ "count": 24,
111
+ "total": 1.023475362000113,
112
+ "mean": 0.042644806750004705,
113
+ "stdev": 0.0031694240338112946,
114
+ "p50": 0.04121042849999412,
115
+ "p90": 0.047066541899999946,
116
+ "p95": 0.04796969240003932,
117
+ "p99": 0.048945033570034865,
118
  "values": [
119
+ 0.04919468500003177,
120
+ 0.046352871999999934,
121
+ 0.04672933300003024,
122
+ 0.04810924400004524,
123
+ 0.0468043729999863,
124
+ 0.04673490400000446,
125
+ 0.0471789000000058,
126
+ 0.041417077999994945,
127
+ 0.04180890800000725,
128
+ 0.041644810999969195,
129
+ 0.040061311999977534,
130
+ 0.04079000900003393,
131
+ 0.04174439700000221,
132
+ 0.04020495999998275,
133
+ 0.040919140000028165,
134
+ 0.040641092000043955,
135
+ 0.0410037789999933,
136
+ 0.03970040000001518,
137
+ 0.04045140900001343,
138
+ 0.04371135099995627,
139
+ 0.03887487299999748,
140
+ 0.040000940000027185,
141
+ 0.04011576300001707,
142
+ 0.039280828999949335
 
143
  ]
144
  },
145
  "throughput": {
146
  "unit": "samples/s",
147
+ "value": 23.44951416622118
148
  },
149
  "energy": {
150
  "unit": "kWh",
151
+ "cpu": 1.5990934901767306e-06,
152
+ "ram": 6.682866404798915e-08,
153
  "gpu": 0.0,
154
+ "total": 1.6659221542247199e-06
155
  },
156
  "efficiency": {
157
  "unit": "samples/kWh",
158
+ "value": 600268.1442611441
159
  }
160
  }
161
  }