IlyasMoutawwakil HF staff commited on
Commit
459519a
1 Parent(s): 271b8f2

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
@@ -71,14 +71,14 @@
71
  "environment": {
72
  "cpu": " AMD EPYC 7763 64-Core Processor",
73
  "cpu_count": 4,
74
- "cpu_ram_mb": 16757.3504,
75
  "system": "Linux",
76
  "machine": "x86_64",
77
  "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
78
  "processor": "x86_64",
79
  "python_version": "3.10.14",
80
  "optimum_benchmark_version": "0.2.0",
81
- "optimum_benchmark_commit": "b50afdd89f3c69090dee699e5e398c44916e2d64",
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": 865.419264,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
@@ -105,54 +105,52 @@
105
  },
106
  "latency": {
107
  "unit": "s",
108
- "count": 23,
109
- "total": 1.0375691879998499,
110
- "mean": 0.04511170382608043,
111
- "stdev": 0.0004865180510892739,
112
- "p50": 0.045204441000009865,
113
- "p90": 0.0456352919999631,
114
- "p95": 0.0457112607999818,
115
- "p99": 0.04595066663997954,
116
  "values": [
117
- 0.04529336699999931,
118
- 0.04496402099999841,
119
- 0.045718352999983836,
120
- 0.04425048500002049,
121
- 0.0449976740000011,
122
- 0.04507095100001379,
123
- 0.04521970000001829,
124
- 0.046016190999978335,
125
- 0.0446192050000036,
126
- 0.04475604200001726,
127
- 0.04542027499996948,
128
- 0.04504349999996293,
129
- 0.045490727000014886,
130
- 0.0445188260000009,
131
- 0.0455315829999563,
132
- 0.044002640999963205,
133
- 0.04532004700001835,
134
- 0.04539703199998257,
135
- 0.045030134000001,
136
- 0.044469826000010926,
137
- 0.04564743099996349,
138
- 0.04558673599996155,
139
- 0.045204441000009865
140
  ]
141
  },
142
  "throughput": {
143
  "unit": "samples/s",
144
- "value": 22.16719642989565
145
  },
146
  "energy": {
147
  "unit": "kWh",
148
- "cpu": 1.5256335083236045e-06,
149
- "ram": 6.375783241434163e-08,
150
  "gpu": 0.0,
151
- "total": 1.589391340737946e-06
152
  },
153
  "efficiency": {
154
  "unit": "samples/kWh",
155
- "value": 629171.6673979772
156
  }
157
  }
158
  }
 
71
  "environment": {
72
  "cpu": " AMD EPYC 7763 64-Core Processor",
73
  "cpu_count": 4,
74
+ "cpu_ram_mb": 16757.354496,
75
  "system": "Linux",
76
  "machine": "x86_64",
77
  "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
78
  "processor": "x86_64",
79
  "python_version": "3.10.14",
80
  "optimum_benchmark_version": "0.2.0",
81
+ "optimum_benchmark_commit": "6fcf23d15753ee501a4776b6dfde05d914257752",
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": 864.641024,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
 
105
  },
106
  "latency": {
107
  "unit": "s",
108
+ "count": 21,
109
+ "total": 1.0142767419999927,
110
+ "mean": 0.04829889247619013,
111
+ "stdev": 0.0007800012880131199,
112
+ "p50": 0.04831144999999992,
113
+ "p90": 0.049221315000011145,
114
+ "p95": 0.049420495999981995,
115
+ "p99": 0.049853590399982294,
116
  "values": [
117
+ 0.0484053559999893,
118
+ 0.04801621100000375,
119
+ 0.049420495999981995,
120
+ 0.04901884800000289,
121
+ 0.048181720000002315,
122
+ 0.04836144500001183,
123
+ 0.049221315000011145,
124
+ 0.04857640399998786,
125
+ 0.04872484099999497,
126
+ 0.04643498799998724,
127
+ 0.0479876570000215,
128
+ 0.047019817000006014,
129
+ 0.04996186399998237,
130
+ 0.04823791399999777,
131
+ 0.04899232899998651,
132
+ 0.04776861100000929,
133
+ 0.04772973800001523,
134
+ 0.04840469500001632,
135
+ 0.047981736999986424,
136
+ 0.047519305999998096,
137
+ 0.04831144999999992
 
 
138
  ]
139
  },
140
  "throughput": {
141
  "unit": "samples/s",
142
+ "value": 20.70440850156076
143
  },
144
  "energy": {
145
  "unit": "kWh",
146
+ "cpu": 1.6627890092355235e-06,
147
+ "ram": 6.948848669032041e-08,
148
  "gpu": 0.0,
149
+ "total": 1.732277495925844e-06
150
  },
151
  "efficiency": {
152
  "unit": "samples/kWh",
153
+ "value": 577274.7162922265
154
  }
155
  }
156
  }