IlyasMoutawwakil HF staff commited on
Commit
645b20b
1 Parent(s): 9621a70

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": "0.4.0",
83
- "optimum_benchmark_commit": "32a4520c8382454cad8518352084ea1935f4f8cd",
84
  "transformers_version": "4.44.0",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 971.337728,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -108,31 +108,31 @@
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
- "total": 4.448395088999973,
112
- "mean": 4.448395088999973,
113
  "stdev": 0.0,
114
- "p50": 4.448395088999973,
115
- "p90": 4.448395088999973,
116
- "p95": 4.448395088999973,
117
- "p99": 4.448395088999973,
118
  "values": [
119
- 4.448395088999973
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 5.032845008333248e-05,
126
- "ram": 2.1035018728734933e-06,
127
  "gpu": 0,
128
- "total": 5.243195195620597e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 885.026816,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -140,55 +140,56 @@
140
  },
141
  "latency": {
142
  "unit": "s",
143
- "count": 24,
144
- "total": 1.034289623999996,
145
- "mean": 0.04309540099999983,
146
- "stdev": 0.002266195044398836,
147
- "p50": 0.04399697999997443,
148
- "p90": 0.044645145000015415,
149
- "p95": 0.04519048100000589,
150
- "p99": 0.045570335999994424,
151
  "values": [
152
- 0.04355293300000085,
153
- 0.0427874150000207,
154
- 0.042247980000013285,
155
- 0.04312795099997402,
156
- 0.044526266999980635,
157
- 0.04375972799999772,
158
- 0.04565759799999114,
159
- 0.04404475899997351,
160
- 0.04413606000002801,
161
- 0.044313219000002846,
162
- 0.04527819800000543,
163
- 0.043949200999975346,
164
- 0.04417320900000732,
165
- 0.04383676100002276,
166
- 0.04445284999997057,
167
- 0.04453250800003161,
168
- 0.044419737999987774,
169
- 0.04469341800000848,
170
- 0.04426677300000392,
171
- 0.04335546200002227,
172
- 0.0377832799999851,
173
- 0.038635967999994136,
174
- 0.03801844600002369,
175
- 0.03873990199997479
 
176
  ]
177
  },
178
  "throughput": {
179
  "unit": "samples/s",
180
- "value": 23.20433217456322
181
  },
182
  "energy": {
183
  "unit": "kWh",
184
- "cpu": 1.4996883850427721e-06,
185
- "ram": 6.267340989860944e-08,
186
  "gpu": 0.0,
187
- "total": 1.5623617949413814e-06
188
  },
189
  "efficiency": {
190
  "unit": "samples/kWh",
191
- "value": 640056.6137995708
192
  }
193
  }
194
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "bca546ad398da0b080272f4f8173e22ecca10c92",
84
  "transformers_version": "4.44.0",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 969.433088,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.440812539999968,
112
+ "mean": 4.440812539999968,
113
  "stdev": 0.0,
114
+ "p50": 4.440812539999968,
115
+ "p90": 4.440812539999968,
116
+ "p95": 4.440812539999968,
117
+ "p99": 4.440812539999968,
118
  "values": [
119
+ 4.440812539999968
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 5.117032386666678e-05,
126
+ "ram": 2.1386996636723672e-06,
127
  "gpu": 0,
128
+ "total": 5.330902353033915e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 883.007488,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
140
  },
141
  "latency": {
142
  "unit": "s",
143
+ "count": 25,
144
+ "total": 1.003012882000121,
145
+ "mean": 0.04012051528000484,
146
+ "stdev": 0.0009924527082197472,
147
+ "p50": 0.039890778000028604,
148
+ "p90": 0.041069616000015685,
149
+ "p95": 0.042582894400027264,
150
+ "p99": 0.042992791799993026,
151
  "values": [
152
+ 0.0430224269999826,
153
+ 0.039911422999978186,
154
+ 0.03919736400001739,
155
+ 0.03956192799995506,
156
+ 0.039890778000028604,
157
+ 0.04069601399999101,
158
+ 0.03973867199999859,
159
+ 0.03868817500000432,
160
+ 0.040309444000001804,
161
+ 0.04031121799999937,
162
+ 0.04011057400003892,
163
+ 0.039171291000002384,
164
+ 0.039335504000007404,
165
+ 0.04015699000001405,
166
+ 0.03969068200001402,
167
+ 0.039605542999993304,
168
+ 0.040442683000037505,
169
+ 0.039656238000020494,
170
+ 0.04001123899996628,
171
+ 0.0394609839999589,
172
+ 0.03956101099998932,
173
+ 0.03986982500003933,
174
+ 0.041318684000032135,
175
+ 0.042898947000026055,
176
+ 0.04039524400002392
177
  ]
178
  },
179
  "throughput": {
180
  "unit": "samples/s",
181
+ "value": 24.92490420476672
182
  },
183
  "energy": {
184
  "unit": "kWh",
185
+ "cpu": 1.5395027636751731e-06,
186
+ "ram": 6.433430907874065e-08,
187
  "gpu": 0.0,
188
+ "total": 1.6038370727539138e-06
189
  },
190
  "efficiency": {
191
  "unit": "samples/kWh",
192
+ "value": 623504.7293693753
193
  }
194
  }
195
  }