IlyasMoutawwakil HF staff commited on
Commit
84744ab
1 Parent(s): ab4ac8d

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": "420ddf2d65dc94a93273eacd14ac0bd4f4b6cef7",
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": 865.021952,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
@@ -105,56 +105,54 @@
105
  },
106
  "latency": {
107
  "unit": "s",
108
- "count": 25,
109
- "total": 1.0328709440000807,
110
- "mean": 0.04131483776000323,
111
- "stdev": 0.0027887123356645223,
112
- "p50": 0.04317610700002206,
113
- "p90": 0.04381429579999576,
114
- "p95": 0.04395439020000822,
115
- "p99": 0.04437765571996806,
116
  "values": [
117
- 0.04375865600002271,
118
- 0.04383527900000672,
119
- 0.04317610700002206,
120
- 0.04350758699996504,
121
- 0.04378282099997932,
122
- 0.043296682000004694,
123
- 0.042993916000000354,
124
- 0.0434539359999917,
125
- 0.043984168000008594,
126
- 0.04359727399997837,
127
- 0.04361022800003411,
128
- 0.04363642699996717,
129
- 0.04326206700000057,
130
- 0.04450191499995526,
131
- 0.03913650399999824,
132
- 0.038497038000002703,
133
- 0.03867393900003435,
134
- 0.03780433299999686,
135
- 0.03844054200004621,
136
- 0.042893969000033394,
137
- 0.03779688899999201,
138
- 0.03702904300001819,
139
- 0.037291996000021754,
140
- 0.03740952399999742,
141
- 0.03750010400000292
142
  ]
143
  },
144
  "throughput": {
145
  "unit": "samples/s",
146
- "value": 24.204379206544942
147
  },
148
  "energy": {
149
  "unit": "kWh",
150
- "cpu": 1.4654435248041353e-06,
151
- "ram": 6.12399022466758e-08,
152
  "gpu": 0.0,
153
- "total": 1.5266834270508112e-06
154
  },
155
  "efficiency": {
156
  "unit": "samples/kWh",
157
- "value": 655014.643036875
158
  }
159
  }
160
  }
 
78
  "processor": "x86_64",
79
  "python_version": "3.10.14",
80
  "optimum_benchmark_version": "0.2.0",
81
+ "optimum_benchmark_commit": "553a573935b71390502b7c324bca2f06f9fbc412",
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": 865.644544,
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": 1.0330228019998913,
110
+ "mean": 0.04491403486956049,
111
+ "stdev": 0.0019667870780053645,
112
+ "p50": 0.045609583999976167,
113
+ "p90": 0.0460091819999775,
114
+ "p95": 0.04636493389998009,
115
+ "p99": 0.04662762425999517,
116
  "values": [
117
+ 0.04602575899997419,
118
+ 0.04563621400001239,
119
+ 0.045609583999976167,
120
+ 0.04563885800001799,
121
+ 0.04539962399996966,
122
+ 0.04547977300001094,
123
+ 0.0450811910000084,
124
+ 0.045091630000001715,
125
+ 0.04669108699999924,
126
+ 0.04594210199996951,
127
+ 0.04578084300004548,
128
+ 0.044945368000014696,
129
+ 0.04550844599998527,
130
+ 0.04573916599997574,
131
+ 0.04640261999998074,
132
+ 0.04547517399998924,
133
+ 0.04577578399999993,
134
+ 0.04594287399999075,
135
+ 0.04588039800000843,
136
+ 0.04515583799997103,
137
+ 0.04007848099996636,
138
+ 0.03978393200003438,
139
+ 0.03995805599998903
 
 
140
  ]
141
  },
142
  "throughput": {
143
  "unit": "samples/s",
144
+ "value": 22.264755391142295
145
  },
146
  "energy": {
147
  "unit": "kWh",
148
+ "cpu": 1.55993742412991e-06,
149
+ "ram": 6.519025448228604e-08,
150
  "gpu": 0.0,
151
+ "total": 1.6251276786121962e-06
152
  },
153
  "efficiency": {
154
  "unit": "samples/kWh",
155
+ "value": 615336.2675195872
156
  }
157
  }
158
  }