IlyasMoutawwakil HF staff commited on
Commit
f90af4c
1 Parent(s): 53aa8c6

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": "0.2.1",
83
- "optimum_benchmark_commit": "9a8b29987613b8b04c221447a49b37ee314548ff",
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": 865.701888,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -107,53 +107,57 @@
107
  },
108
  "latency": {
109
  "unit": "s",
110
- "count": 22,
111
- "total": 1.0071439470000882,
112
- "mean": 0.04577927031818583,
113
- "stdev": 0.0014382885793373626,
114
- "p50": 0.04599812249998081,
115
- "p90": 0.047038004400025105,
116
- "p95": 0.0473927071500043,
117
- "p99": 0.048703026199988814,
118
  "values": [
119
- 0.04904645599998503,
120
- 0.04592274099996985,
121
- 0.04625695700002552,
122
- 0.044981510000013714,
123
- 0.04605611099998441,
124
- 0.04704369900002803,
125
- 0.04698675299999877,
126
- 0.04394404800001439,
127
- 0.046620006000011927,
128
- 0.04528407600002993,
129
- 0.04604963899998893,
130
- 0.04540936099999726,
131
- 0.04741107600000305,
132
- 0.04437474399998109,
133
- 0.04629071900001236,
134
- 0.04613995800002613,
135
- 0.04471504100001766,
136
- 0.04658780500000148,
137
- 0.04594660599997269,
138
- 0.044955049999998664,
139
- 0.04567309300000488,
140
- 0.04144849800002248
 
 
 
 
141
  ]
142
  },
143
  "throughput": {
144
  "unit": "samples/s",
145
- "value": 21.84394799326344
146
  },
147
  "energy": {
148
  "unit": "kWh",
149
- "cpu": 1.5572105208013812e-06,
150
- "ram": 6.50774157929408e-08,
151
  "gpu": 0.0,
152
- "total": 1.6222879365943221e-06
153
  },
154
  "efficiency": {
155
  "unit": "samples/kWh",
156
- "value": 616413.3859611293
157
  }
158
  }
159
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.1",
83
+ "optimum_benchmark_commit": "3b8c49a169ebd79001b2a83fbf2b332612417102",
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": 865.886208,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
107
  },
108
  "latency": {
109
  "unit": "s",
110
+ "count": 26,
111
+ "total": 1.0363352679999593,
112
+ "mean": 0.0398590487692292,
113
+ "stdev": 0.0012532722225869707,
114
+ "p50": 0.03967057050002154,
115
+ "p90": 0.040936984499978735,
116
+ "p95": 0.04262340649999885,
117
+ "p99": 0.043524135749962056,
118
  "values": [
119
+ 0.04072095600002967,
120
+ 0.040003026000022146,
121
+ 0.04015516099997285,
122
+ 0.04022018199998456,
123
+ 0.03941039000000046,
124
+ 0.03969750600003863,
125
+ 0.03950044700002309,
126
+ 0.04019263099996806,
127
+ 0.039118945000041094,
128
+ 0.03975739700001668,
129
+ 0.0393303699999592,
130
+ 0.039755743999990045,
131
+ 0.039892699999995784,
132
+ 0.03905289200002926,
133
+ 0.041089753999983714,
134
+ 0.040784214999973756,
135
+ 0.03964363500000445,
136
+ 0.03951663899999858,
137
+ 0.03915755699995316,
138
+ 0.04365397299994811,
139
+ 0.043134624000003896,
140
+ 0.038582051999981104,
141
+ 0.038240295000036895,
142
+ 0.03834188500002256,
143
+ 0.038215907999983756,
144
+ 0.039166383999997834
145
  ]
146
  },
147
  "throughput": {
148
  "unit": "samples/s",
149
+ "value": 25.08840604274506
150
  },
151
  "energy": {
152
  "unit": "kWh",
153
+ "cpu": 1.565678914388021e-06,
154
+ "ram": 6.542767617725076e-08,
155
  "gpu": 0.0,
156
+ "total": 1.6311065905652718e-06
157
  },
158
  "efficiency": {
159
  "unit": "samples/kWh",
160
+ "value": 613080.7181972349
161
  }
162
  }
163
  }