IlyasMoutawwakil HF staff commited on
Commit
5fb76a2
1 Parent(s): b94e1c5

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": "99a3ca8898b9c4f2a5e074afab82f89e395d4214",
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": 864.731136,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
@@ -105,52 +105,56 @@
105
  },
106
  "latency": {
107
  "unit": "s",
108
- "count": 21,
109
- "total": 1.0051161879999313,
110
- "mean": 0.04786267561904435,
111
- "stdev": 0.0008970348804373009,
112
- "p50": 0.04788519099997757,
113
- "p90": 0.04901928599997518,
114
- "p95": 0.049037559999987934,
115
- "p99": 0.04907508480000615,
116
  "values": [
117
- 0.04901928599997518,
118
- 0.046702555000024404,
119
- 0.04738579000002119,
120
- 0.046796361000019715,
121
- 0.04814877199999046,
122
- 0.04807360300003438,
123
- 0.04739784199995256,
124
- 0.049037559999987934,
125
- 0.04866997400000628,
126
- 0.04553373499999225,
127
- 0.04741446299999552,
128
- 0.0475697329999889,
129
- 0.04841760400000794,
130
- 0.04788519099997757,
131
- 0.04729042200000322,
132
- 0.048831235999955425,
133
- 0.04761079999997264,
134
- 0.04837479399998301,
135
- 0.047110897000038676,
136
- 0.04908446600001071,
137
- 0.04876110399999334
 
 
 
 
138
  ]
139
  },
140
  "throughput": {
141
  "unit": "samples/s",
142
- "value": 20.893106937007598
143
  },
144
  "energy": {
145
  "unit": "kWh",
146
- "cpu": 1.6330584883689884e-06,
147
- "ram": 6.824610946705908e-08,
148
  "gpu": 0.0,
149
- "total": 1.7013045978360473e-06
150
  },
151
  "efficiency": {
152
  "unit": "samples/kWh",
153
- "value": 587784.2223385144
154
  }
155
  }
156
  }
 
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": "420ddf2d65dc94a93273eacd14ac0bd4f4b6cef7",
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": 865.021952,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
 
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
  }