IlyasMoutawwakil HF staff commited on
Commit
f40d7a8
1 Parent(s): 6a5433f

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
@@ -78,7 +78,7 @@
78
  "processor": "x86_64",
79
  "python_version": "3.10.14",
80
  "optimum_benchmark_version": "0.2.0",
81
- "optimum_benchmark_commit": "e65976e2695b67f37a76baa42b75347a3a733547",
82
  "transformers_version": "4.40.2",
83
  "transformers_commit": null,
84
  "accelerate_version": "0.30.1",
@@ -97,7 +97,7 @@
97
  "forward": {
98
  "memory": {
99
  "unit": "MB",
100
- "max_ram": 864.743424,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
@@ -105,52 +105,54 @@
105
  },
106
  "latency": {
107
  "unit": "s",
108
- "count": 21,
109
- "total": 1.0199409799999728,
110
- "mean": 0.0485686180952368,
111
- "stdev": 0.002091348651867081,
112
- "p50": 0.04907283800000073,
113
- "p90": 0.05060210900001039,
114
- "p95": 0.05110636199998453,
115
- "p99": 0.052074649999997294,
116
  "values": [
117
- 0.04763694299998633,
118
- 0.04703593899998282,
119
- 0.04778575099999216,
120
- 0.045409676999980775,
121
- 0.04796217099999467,
122
- 0.048428303000008555,
123
- 0.049157997999998315,
124
- 0.05041973800001642,
125
- 0.04703022800001122,
126
- 0.05060210900001039,
127
- 0.04954111400002148,
128
- 0.049627224999994723,
129
- 0.05015550299998495,
130
- 0.04991056500000468,
131
- 0.05110636199998453,
132
- 0.04946538199999395,
133
- 0.04907283800000073,
134
- 0.04891594500000451,
135
- 0.05231672200000048,
136
- 0.04354476000000318,
137
- 0.04481570699999793
 
 
138
  ]
139
  },
140
  "throughput": {
141
  "unit": "samples/s",
142
- "value": 20.589426654864443
143
  },
144
  "energy": {
145
  "unit": "kWh",
146
- "cpu": 1.6555581379819799e-06,
147
- "ram": 6.918711800698437e-08,
148
  "gpu": 0.0,
149
- "total": 1.7247452559889643e-06
150
  },
151
  "efficiency": {
152
  "unit": "samples/kWh",
153
- "value": 579795.767825784
154
  }
155
  }
156
  }
 
78
  "processor": "x86_64",
79
  "python_version": "3.10.14",
80
  "optimum_benchmark_version": "0.2.0",
81
+ "optimum_benchmark_commit": "519f5ad32b6cd1fea2bd501503e24d19a1e23c22",
82
  "transformers_version": "4.40.2",
83
  "transformers_commit": null,
84
  "accelerate_version": "0.30.1",
 
97
  "forward": {
98
  "memory": {
99
  "unit": "MB",
100
+ "max_ram": 865.452032,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
 
105
  },
106
  "latency": {
107
  "unit": "s",
108
+ "count": 23,
109
+ "total": 1.0398251850000406,
110
+ "mean": 0.04520979065217568,
111
+ "stdev": 0.0009430820683368968,
112
+ "p50": 0.045407527999998365,
113
+ "p90": 0.046111870200013526,
114
+ "p95": 0.04674925020000842,
115
+ "p99": 0.04723066322003319,
116
  "values": [
117
+ 0.04576655800002527,
118
+ 0.046817771000007724,
119
+ 0.04734712000004038,
120
+ 0.04350648799999135,
121
+ 0.04564632300002813,
122
+ 0.04550036199998431,
123
+ 0.044746062999990954,
124
+ 0.0454083099999707,
125
+ 0.043834179999976186,
126
+ 0.04480251899997256,
127
+ 0.04613256300001467,
128
+ 0.044292987000005724,
129
+ 0.0445441760000449,
130
+ 0.04391477100000429,
131
+ 0.046029099000008955,
132
+ 0.04390612399998872,
133
+ 0.045036395000011,
134
+ 0.04521848500002079,
135
+ 0.04565919800000984,
136
+ 0.04469983699999602,
137
+ 0.045407527999998365,
138
+ 0.04560060899996188,
139
+ 0.0460077189999879
140
  ]
141
  },
142
  "throughput": {
143
  "unit": "samples/s",
144
+ "value": 22.119102645123085
145
  },
146
  "energy": {
147
  "unit": "kWh",
148
+ "cpu": 1.5127010834522738e-06,
149
+ "ram": 6.32169936195208e-08,
150
  "gpu": 0.0,
151
+ "total": 1.5759180770717946e-06
152
  },
153
  "efficiency": {
154
  "unit": "samples/kWh",
155
+ "value": 634550.7514312514
156
  }
157
  }
158
  }