IlyasMoutawwakil HF staff commited on
Commit
63daa48
1 Parent(s): 0e9201e

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": 16757.354496,
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": "83a87c3d95805880a695f5bd4e2d038143845010",
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": 865.202176,
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": 0.9998988950002285,
110
- "mean": 0.03999595580000914,
111
- "stdev": 0.0018912486633852882,
112
- "p50": 0.039345982999975604,
113
- "p90": 0.04115942420002057,
114
- "p95": 0.04401425660001904,
115
- "p99": 0.04665974264001533,
116
  "values": [
117
- 0.04012154399998735,
118
- 0.03922069800000827,
119
- 0.039568229999986215,
120
- 0.03930262300002596,
121
- 0.03892014600000948,
122
- 0.03964964200002896,
123
- 0.039538482000011754,
124
- 0.03922397600001659,
125
- 0.03966394899998704,
126
- 0.03913911699999062,
127
- 0.039345982999975604,
128
- 0.03984609899998759,
129
- 0.04164217900000722,
130
- 0.04043529200004059,
131
- 0.039550326000039604,
132
- 0.03878591500000539,
133
- 0.0390504210000131,
134
- 0.039104091000012886,
135
- 0.039069847000007485,
136
- 0.03968688899999506,
137
- 0.03916228900004626,
138
- 0.03879971200001364,
139
- 0.03915627899999663,
140
- 0.04730789000001323,
141
- 0.04460727600002201
142
  ]
143
  },
144
  "throughput": {
145
  "unit": "samples/s",
146
- "value": 25.002527880575652
147
  },
148
  "energy": {
149
  "unit": "kWh",
150
- "cpu": 1.5029192989708016e-06,
151
- "ram": 6.280799494951757e-08,
152
  "gpu": 0.0,
153
- "total": 1.565727293920319e-06
154
  },
155
  "efficiency": {
156
  "unit": "samples/kWh",
157
- "value": 638680.8251238742
158
  }
159
  }
160
  }
 
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
  "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
  },
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
  }