IlyasMoutawwakil HF staff commited on
Commit
7e28761
1 Parent(s): 511ec02

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": "a426049b3dc97f6bbcbc7a79743065432e963ac0",
84
  "transformers_version": "4.41.0",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.30.1",
@@ -99,7 +99,7 @@
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 864.141312,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -107,55 +107,54 @@
107
  },
108
  "latency": {
109
  "unit": "s",
110
- "count": 24,
111
- "total": 1.01578735600026,
112
- "mean": 0.0423244731666775,
113
- "stdev": 0.002040213748222033,
114
- "p50": 0.04310238899998353,
115
- "p90": 0.04381536549998373,
116
- "p95": 0.043895047200021506,
117
- "p99": 0.04399678833003918,
118
  "values": [
119
- 0.04379134499998827,
120
- 0.04390729200002852,
121
- 0.044023521000042365,
122
- 0.04281829100000323,
123
- 0.04320196000003307,
124
- 0.043756420000022445,
125
- 0.043309342000043216,
126
- 0.041899528999977065,
127
- 0.0435310870000194,
128
- 0.04326375700003382,
129
- 0.043072968999979366,
130
- 0.04265830100001722,
131
- 0.04335665000002109,
132
- 0.041260851000004095,
133
- 0.0431318089999877,
134
- 0.042566619000012906,
135
- 0.04271035900001152,
136
- 0.042609028000015314,
137
- 0.04382565999998178,
138
- 0.043458030000010694,
139
- 0.04197140500002661,
140
- 0.03738123700003371,
141
- 0.037421302999973705,
142
- 0.03686059099999284
143
  ]
144
  },
145
  "throughput": {
146
  "unit": "samples/s",
147
- "value": 23.626992261945283
148
  },
149
  "energy": {
150
  "unit": "kWh",
151
- "cpu": 1.4635088021863144e-06,
152
- "ram": 6.116130726647278e-08,
153
  "gpu": 0.0,
154
- "total": 1.5246701094527873e-06
155
  },
156
  "efficiency": {
157
  "unit": "samples/kWh",
158
- "value": 655879.5858855695
159
  }
160
  }
161
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.1",
83
+ "optimum_benchmark_commit": "5e9beea10942a9d4b3bee05550004817630e3d7e",
84
  "transformers_version": "4.41.0",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.30.1",
 
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 864.858112,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
107
  },
108
  "latency": {
109
  "unit": "s",
110
+ "count": 23,
111
+ "total": 1.026316953000105,
112
+ "mean": 0.04462247621739587,
113
+ "stdev": 0.0016358921381332322,
114
+ "p50": 0.045087168000009115,
115
+ "p90": 0.04580513439997276,
116
+ "p95": 0.045922033899989854,
117
+ "p99": 0.04633555560002264,
118
  "values": [
119
+ 0.045087168000009115,
120
+ 0.04516326899999967,
121
+ 0.04540705300001946,
122
+ 0.04381148700002768,
123
+ 0.04491624999997157,
124
+ 0.04573111500002369,
125
+ 0.04532756500003643,
126
+ 0.04337344399999665,
127
+ 0.04566000300002315,
128
+ 0.04494475400002784,
129
+ 0.045183858000029886,
130
+ 0.04503027200001952,
131
+ 0.04574991999999156,
132
+ 0.04387092799998982,
133
+ 0.04581893799996806,
134
+ 0.045405669999979636,
135
+ 0.04440665299995317,
136
+ 0.0447104180000224,
137
+ 0.04644895900003121,
138
+ 0.0445006080000212,
139
+ 0.04593348899999228,
140
+ 0.0390637339999671,
141
+ 0.040771398000003956
 
142
  ]
143
  },
144
  "throughput": {
145
  "unit": "samples/s",
146
+ "value": 22.41023100394761
147
  },
148
  "energy": {
149
  "unit": "kWh",
150
+ "cpu": 1.5166280616042964e-06,
151
+ "ram": 6.337821685235667e-08,
152
  "gpu": 0.0,
153
+ "total": 1.580006278456653e-06
154
  },
155
  "efficiency": {
156
  "unit": "samples/kWh",
157
+ "value": 632908.8774107897
158
  }
159
  }
160
  }