Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Files
xet
Community
IlyasMoutawwakil HF Staff commited on
Commit
4dd7cc5
·
verified ·
1 Parent(s): 11698c2

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

Browse files
Files changed (1) hide show
  1. cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json +52 -54
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": "0.3.1",
83
- "optimum_benchmark_commit": "d3c098f7db730a120ce09e9c390325447583d3b3",
84
  "transformers_version": "4.43.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 970.407936,
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": 4.325814400000013,
112
- "mean": 4.325814400000013,
113
  "stdev": 0.0,
114
- "p50": 4.325814400000013,
115
- "p90": 4.325814400000013,
116
- "p95": 4.325814400000013,
117
- "p99": 4.325814400000013,
118
  "values": [
119
- 4.325814400000013
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 5.0249879890018044e-05,
126
- "ram": 2.100218258146924e-06,
127
  "gpu": 0,
128
- "total": 5.235009814816497e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 884.105216,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -140,59 +140,57 @@
140
  },
141
  "latency": {
142
  "unit": "s",
143
- "count": 28,
144
- "total": 1.0352424999999243,
145
- "mean": 0.03697294642856873,
146
- "stdev": 0.0009480092459805508,
147
- "p50": 0.036832300499980875,
148
- "p90": 0.03725569119998227,
149
- "p95": 0.038055592999958775,
150
- "p99": 0.040472780239995246,
151
  "values": [
152
- 0.03727574899994579,
153
- 0.0367702750000376,
154
- 0.03663788700004034,
155
- 0.03702870699999039,
156
- 0.03708091499999,
157
- 0.036809537999999975,
158
- 0.03714623700000175,
159
- 0.0366363750000005,
160
- 0.03693414100001746,
161
- 0.036855062999961774,
162
- 0.036985667999999805,
163
- 0.037163108000015654,
164
- 0.03695120200001156,
165
- 0.036761538000007477,
166
- 0.03673563000000968,
167
- 0.03686758800000689,
168
- 0.03648080400000708,
169
- 0.0372470949999979,
170
- 0.03847550899996577,
171
- 0.03677778799999487,
172
- 0.03679719499996281,
173
- 0.03685750800002552,
174
- 0.036303923999980725,
175
- 0.03673713300003101,
176
- 0.04121149700000615,
177
- 0.035980028999972546,
178
- 0.03594773899999382,
179
- 0.03578665799994951
180
  ]
181
  },
182
  "throughput": {
183
  "unit": "samples/s",
184
- "value": 27.046803043733274
185
  },
186
  "energy": {
187
  "unit": "kWh",
188
- "cpu": 1.4014393091201783e-06,
189
- "ram": 5.856817495900454e-08,
190
  "gpu": 0.0,
191
- "total": 1.4600074840791828e-06
192
  },
193
  "efficiency": {
194
  "unit": "samples/kWh",
195
- "value": 684927.9958524962
196
  }
197
  }
198
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.3.1",
83
+ "optimum_benchmark_commit": "9d11320bd2f1225453b4b1dfc080b74581b546cc",
84
  "transformers_version": "4.43.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 970.817536,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.416241393000007,
112
+ "mean": 4.416241393000007,
113
  "stdev": 0.0,
114
+ "p50": 4.416241393000007,
115
+ "p90": 4.416241393000007,
116
+ "p95": 4.416241393000007,
117
+ "p99": 4.416241393000007,
118
  "values": [
119
+ 4.416241393000007
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 5.089927911758423e-05,
126
+ "ram": 2.127365547322597e-06,
127
  "gpu": 0,
128
+ "total": 5.302664466490683e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 884.322304,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
140
  },
141
  "latency": {
142
  "unit": "s",
143
+ "count": 26,
144
+ "total": 1.0246123879999232,
145
+ "mean": 0.039408168769227814,
146
+ "stdev": 0.0011472143593432912,
147
+ "p50": 0.039210776499999156,
148
+ "p90": 0.04059045949998108,
149
+ "p95": 0.04181584900000246,
150
+ "p99": 0.04281624174997489,
151
  "values": [
152
+ 0.039482238000005054,
153
+ 0.03882847900001707,
154
+ 0.03946094799999855,
155
+ 0.038494606999961434,
156
+ 0.04068622299996605,
157
+ 0.04302419199996166,
158
+ 0.04013869100003831,
159
+ 0.0394398889999934,
160
+ 0.03913390799999661,
161
+ 0.03888882099994362,
162
+ 0.039237592000006316,
163
+ 0.039183960999991996,
164
+ 0.038812940000013896,
165
+ 0.03931148999998868,
166
+ 0.04049469599999611,
167
+ 0.039440319999982876,
168
+ 0.03890355900000486,
169
+ 0.039811331000009886,
170
+ 0.03960306200002606,
171
+ 0.03893261299998585,
172
+ 0.038389489999985926,
173
+ 0.03845609499995817,
174
+ 0.03794924600003924,
175
+ 0.0384691190000126,
176
+ 0.042192391000014595,
177
+ 0.037846487000024354
 
 
178
  ]
179
  },
180
  "throughput": {
181
  "unit": "samples/s",
182
+ "value": 25.375449589042006
183
  },
184
  "energy": {
185
  "unit": "kWh",
186
+ "cpu": 1.4885056656574519e-06,
187
+ "ram": 6.220632367103462e-08,
188
  "gpu": 0.0,
189
+ "total": 1.5507119893284864e-06
190
  },
191
  "efficiency": {
192
  "unit": "samples/kWh",
193
+ "value": 644865.0728708402
194
  }
195
  }
196
  }