IlyasMoutawwakil HF staff commited on
Commit
743a8e9
1 Parent(s): aee245b

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": "0.2.0",
83
- "optimum_benchmark_commit": "6d219cab8dced45685ef7bd31a9c5490c58b944d",
84
  "transformers_version": "4.40.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.30.1",
@@ -99,7 +99,7 @@
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 867.36896,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -107,53 +107,54 @@
107
  },
108
  "latency": {
109
  "unit": "s",
110
- "count": 22,
111
- "total": 1.014804932999965,
112
- "mean": 0.04612749695454387,
113
- "stdev": 0.0008726789794111012,
114
- "p50": 0.04614959900000315,
115
- "p90": 0.04716974580001363,
116
- "p95": 0.047174283649991364,
117
- "p99": 0.04742093188998183,
118
  "values": [
119
- 0.04624250199998414,
120
- 0.04611378199999194,
121
- 0.04666466799997693,
122
- 0.04469856600002231,
123
- 0.04748644999997964,
124
- 0.04608149200001321,
125
- 0.0458274490000008,
126
- 0.047174458999990065,
127
- 0.044614989999985255,
128
- 0.04559968399999548,
129
- 0.046956190999992486,
130
- 0.045624149999980546,
131
- 0.04618541600001436,
132
- 0.04504095300001154,
133
- 0.047170952000016086,
134
- 0.04467948999999294,
135
- 0.046421445999982325,
136
- 0.046884497999997166,
137
- 0.046085620000013705,
138
- 0.04510807900001623,
139
- 0.04698520600001643,
140
- 0.047158889999991516
 
141
  ]
142
  },
143
  "throughput": {
144
  "unit": "samples/s",
145
- "value": 21.679043217659206
146
  },
147
  "energy": {
148
  "unit": "kWh",
149
- "cpu": 1.5657456715901694e-06,
150
- "ram": 6.543386213597841e-08,
151
  "gpu": 0.0,
152
- "total": 1.631179533726148e-06
153
  },
154
  "efficiency": {
155
  "unit": "samples/kWh",
156
- "value": 613053.3024256825
157
  }
158
  }
159
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.0",
83
+ "optimum_benchmark_commit": "d7339efdbbcababd22ca2f563771622060764f8f",
84
  "transformers_version": "4.40.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.30.1",
 
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 866.709504,
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": 1.0244720270001153,
112
+ "mean": 0.04454226204348327,
113
+ "stdev": 0.0011518387312830674,
114
+ "p50": 0.044633186999988084,
115
+ "p90": 0.04589253680001093,
116
+ "p95": 0.0464173789000256,
117
+ "p99": 0.04674310436000838,
118
  "values": [
119
+ 0.04604472400001214,
120
+ 0.044938946000002034,
121
+ 0.04516105999999809,
122
+ 0.04328523800000994,
123
+ 0.0452837880000061,
124
+ 0.04440689500000872,
125
+ 0.044445688000052996,
126
+ 0.04499888700001975,
127
+ 0.043664985000020806,
128
+ 0.04332790799998065,
129
+ 0.04514569000002666,
130
+ 0.044210899999995945,
131
+ 0.0441137299999923,
132
+ 0.04424871099996608,
133
+ 0.045252048000008926,
134
+ 0.0431679590000158,
135
+ 0.044633186999988084,
136
+ 0.04527247699996906,
137
+ 0.044695812999975715,
138
+ 0.046823297000003095,
139
+ 0.04337780000003022,
140
+ 0.04645878500002709,
141
+ 0.04151351100000511
142
  ]
143
  },
144
  "throughput": {
145
  "unit": "samples/s",
146
+ "value": 22.450588589860455
147
  },
148
  "energy": {
149
  "unit": "kWh",
150
+ "cpu": 1.5120745214641604e-06,
151
+ "ram": 6.319096373204047e-08,
152
  "gpu": 0.0,
153
+ "total": 1.575265485196201e-06
154
  },
155
  "efficiency": {
156
  "unit": "samples/kWh",
157
+ "value": 634813.6294470065
158
  }
159
  }
160
  }