IlyasMoutawwakil HF staff commited on
Commit
18bcc3e
1 Parent(s): b99939b

Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub

Browse files
cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json CHANGED
@@ -80,7 +80,7 @@
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.0",
83
- "optimum_benchmark_commit": "b880a42960acf7600cf87a7b5756d96d29e2fb24",
84
  "transformers_version": "4.40.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.30.1",
@@ -99,7 +99,7 @@
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 866.922496,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -107,53 +107,56 @@
107
  },
108
  "latency": {
109
  "unit": "s",
110
- "count": 22,
111
- "total": 1.0176193290000697,
112
- "mean": 0.04625542404545771,
113
- "stdev": 0.0016021138765264973,
114
- "p50": 0.04623509600000375,
115
- "p90": 0.04803038290003201,
116
- "p95": 0.048194395650025965,
117
- "p99": 0.04866684363000502,
118
  "values": [
119
- 0.045889488000000256,
120
- 0.04608832799999618,
121
- 0.04489613900000222,
122
- 0.046058842999968874,
123
- 0.045878227999992305,
124
- 0.04592617600002313,
125
- 0.045722527999998874,
126
- 0.04606517399997756,
127
- 0.04638186400001132,
128
- 0.04879080599999952,
129
- 0.04744319999997515,
130
- 0.048200509000025704,
131
- 0.04661360599999398,
132
- 0.046898345999977664,
133
- 0.047599651000041376,
134
- 0.046843643000045176,
135
- 0.04549070599995275,
136
- 0.04704618100004154,
137
- 0.04807824200003097,
138
- 0.047090413000034914,
139
- 0.043560163999984525,
140
- 0.041057093999995686
 
 
 
141
  ]
142
  },
143
  "throughput": {
144
  "unit": "samples/s",
145
- "value": 21.619086207430417
146
  },
147
  "energy": {
148
  "unit": "kWh",
149
- "cpu": 1.5660761197408042e-06,
150
- "ram": 6.544423457470051e-08,
151
  "gpu": 0.0,
152
- "total": 1.6315203543155048e-06
153
  },
154
  "efficiency": {
155
  "unit": "samples/kWh",
156
- "value": 612925.237098586
157
  }
158
  }
159
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.0",
83
+ "optimum_benchmark_commit": "0994de67c8ae64954d51b8fdb251c26ff95c5907",
84
  "transformers_version": "4.40.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.30.1",
 
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 867.20512,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
107
  },
108
  "latency": {
109
  "unit": "s",
110
+ "count": 25,
111
+ "total": 1.0070450529997856,
112
+ "mean": 0.040281802119991425,
113
+ "stdev": 0.0009050463084350265,
114
+ "p50": 0.040060538000034285,
115
+ "p90": 0.04108484280000084,
116
+ "p95": 0.04114553199999591,
117
+ "p99": 0.04315766387999929,
118
  "values": [
119
+ 0.04036525599997276,
120
+ 0.040060538000034285,
121
+ 0.039265240999952766,
122
+ 0.03917121500001031,
123
+ 0.03955566400003363,
124
+ 0.03992717800002765,
125
+ 0.03959935500000711,
126
+ 0.03976930299995729,
127
+ 0.039874067999960516,
128
+ 0.039591530999985025,
129
+ 0.03983116799997788,
130
+ 0.040450724999971044,
131
+ 0.04016604399998869,
132
+ 0.041071004999992056,
133
+ 0.039876413000001776,
134
+ 0.040361017999998694,
135
+ 0.04002289599998221,
136
+ 0.04082679800001188,
137
+ 0.04115839799999321,
138
+ 0.04022666699995625,
139
+ 0.0403059249999842,
140
+ 0.0410940680000067,
141
+ 0.04104583699995601,
142
+ 0.03963973100002249,
143
+ 0.04378901100000121
144
  ]
145
  },
146
  "throughput": {
147
  "unit": "samples/s",
148
+ "value": 24.82510581381638
149
  },
150
  "energy": {
151
  "unit": "kWh",
152
+ "cpu": 1.5248311381054741e-06,
153
+ "ram": 6.372388766694625e-08,
154
  "gpu": 0.0,
155
+ "total": 1.5885550257724205e-06
156
  },
157
  "efficiency": {
158
  "unit": "samples/kWh",
159
+ "value": 629502.9028117921
160
  }
161
  }
162
  }