IlyasMoutawwakil HF staff commited on
Commit
8f7cc8a
1 Parent(s): 2b66d22

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": "2db7e171d23768cdeb341987283e17e0b2db9bd9",
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": 865.292288,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
@@ -105,55 +105,53 @@
105
  },
106
  "latency": {
107
  "unit": "s",
108
- "count": 24,
109
- "total": 1.0159089840000775,
110
- "mean": 0.042329541000003225,
111
- "stdev": 0.0029353389992111904,
112
- "p50": 0.042953000500006056,
113
- "p90": 0.04566556469999341,
114
- "p95": 0.04582517625002254,
115
- "p99": 0.04691376230000742,
116
  "values": [
117
- 0.03985695000000078,
118
- 0.04032634599997209,
119
- 0.040058164000015495,
120
- 0.03841729399999849,
121
- 0.03882141799999772,
122
- 0.03862427100000332,
123
- 0.0397537869999951,
124
- 0.03983475899997302,
125
- 0.04061763999999357,
126
- 0.0438916570000174,
127
- 0.04584085200002619,
128
- 0.047234242000001814,
129
- 0.045500405999973736,
130
- 0.04485144600005242,
131
- 0.04487367799998765,
132
- 0.044935403000010865,
133
- 0.04463287999999466,
134
- 0.04573634700000184,
135
- 0.04467695200003163,
136
- 0.04504245200001833,
137
- 0.04358969300000126,
138
- 0.03895164099998283,
139
- 0.04231630800001085,
140
- 0.03752439800001639
141
  ]
142
  },
143
  "throughput": {
144
  "unit": "samples/s",
145
- "value": 23.624163559910176
146
  },
147
  "energy": {
148
  "unit": "kWh",
149
- "cpu": 1.5120620401496564e-06,
150
- "ram": 6.319063738506367e-08,
151
  "gpu": 0.0,
152
- "total": 1.5752526775347198e-06
153
  },
154
  "efficiency": {
155
  "unit": "samples/kWh",
156
- "value": 634818.7908272635
157
  }
158
  }
159
  }
 
78
  "processor": "x86_64",
79
  "python_version": "3.10.14",
80
  "optimum_benchmark_version": "0.2.0",
81
+ "optimum_benchmark_commit": "b92e3e6e00670fa1351d9aef1be896254e5f33e0",
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": 865.681408,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
 
105
  },
106
  "latency": {
107
  "unit": "s",
108
+ "count": 22,
109
+ "total": 1.0414851680000368,
110
+ "mean": 0.04734023490909258,
111
+ "stdev": 0.0009181200459350605,
112
+ "p50": 0.04729051350000191,
113
+ "p90": 0.04834316179999121,
114
+ "p95": 0.048413101149984074,
115
+ "p99": 0.04978753265999643,
116
  "values": [
117
+ 0.04837958799998887,
118
+ 0.04715097799999057,
119
+ 0.0474635330000126,
120
+ 0.04521751600000812,
121
+ 0.04675580800000034,
122
+ 0.047223303000009764,
123
+ 0.04683344200000761,
124
+ 0.04735772399999405,
125
+ 0.04654264800001329,
126
+ 0.04667010599999344,
127
+ 0.04841486499998382,
128
+ 0.04708357100000171,
129
+ 0.04801532600001224,
130
+ 0.04738089700001069,
131
+ 0.047590910999986136,
132
+ 0.04634670100000449,
133
+ 0.047606540999993285,
134
+ 0.047793671000022186,
135
+ 0.04684054499998069,
136
+ 0.0471789000000058,
137
+ 0.04748617500001728,
138
+ 0.05015241899999978
 
 
139
  ]
140
  },
141
  "throughput": {
142
  "unit": "samples/s",
143
+ "value": 21.12368056306225
144
  },
145
  "energy": {
146
  "unit": "kWh",
147
+ "cpu": 1.6138490570916071e-06,
148
+ "ram": 6.744403810538414e-08,
149
  "gpu": 0.0,
150
+ "total": 1.6812930951969912e-06
151
  },
152
  "efficiency": {
153
  "unit": "samples/kWh",
154
+ "value": 594780.2931307664
155
  }
156
  }
157
  }