IlyasMoutawwakil HF staff commited on
Commit
d7bd19e
1 Parent(s): 3cc4d92

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
@@ -73,14 +73,14 @@
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
- "cpu_ram_mb": 16757.3504,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.0",
83
- "optimum_benchmark_commit": "8c941d382a8099afb1970de0d586e2ae6aa525e8",
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": 867.34848,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -107,54 +107,52 @@
107
  },
108
  "latency": {
109
  "unit": "s",
110
- "count": 23,
111
- "total": 1.009636374000138,
112
- "mean": 0.04389723365217991,
113
- "stdev": 0.002099540054285526,
114
- "p50": 0.04503806100001384,
115
- "p90": 0.04540707480001629,
116
- "p95": 0.045483283499976324,
117
- "p99": 0.04560432737997758,
118
  "values": [
119
- 0.04499874699996553,
120
- 0.04563628699997935,
121
- 0.04426621999999725,
122
- 0.04504750799998192,
123
- 0.04538060999999516,
124
- 0.045491015999971296,
125
- 0.045051606000015454,
126
- 0.044585666000045876,
127
- 0.045190335000029336,
128
- 0.04503806100001384,
129
- 0.04419416600001114,
130
- 0.04495435500001577,
131
- 0.045239487000003464,
132
- 0.045341887999995834,
133
- 0.04541369100002157,
134
- 0.04523046899998917,
135
- 0.04505735700001878,
136
- 0.04344549500001449,
137
- 0.039960845999985395,
138
- 0.04004751700000497,
139
- 0.04005604400003904,
140
- 0.03981794800000671,
141
- 0.04019105500003661
142
  ]
143
  },
144
  "throughput": {
145
  "unit": "samples/s",
146
- "value": 22.780478786510972
147
  },
148
  "energy": {
149
  "unit": "kWh",
150
- "cpu": 1.6349928246604075e-06,
151
- "ram": 6.832700306149933e-08,
152
  "gpu": 0.0,
153
- "total": 1.7033198277219068e-06
154
  },
155
  "efficiency": {
156
  "unit": "samples/kWh",
157
- "value": 587088.8037142402
158
  }
159
  }
160
  }
 
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
+ "cpu_ram_mb": 16757.346304,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.0",
83
+ "optimum_benchmark_commit": "b0a0b933f18d5fa56eadb290a26cc2099f2dd4d8",
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": 866.59072,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
107
  },
108
  "latency": {
109
  "unit": "s",
110
+ "count": 21,
111
+ "total": 1.028691970999887,
112
+ "mean": 0.04898533195237557,
113
+ "stdev": 0.001776100573569194,
114
+ "p50": 0.04891408000003139,
115
+ "p90": 0.05048886500003391,
116
+ "p95": 0.05144297499998629,
117
+ "p99": 0.05228185180001219,
118
  "values": [
119
+ 0.05011424199994963,
120
+ 0.04867258699999866,
121
+ 0.05023508900001161,
122
+ 0.04779034099999535,
123
+ 0.052491571000018666,
124
+ 0.04931448199999977,
125
+ 0.05144297499998629,
126
+ 0.048092739000026086,
127
+ 0.04850622399999338,
128
+ 0.048800857999992786,
129
+ 0.04882180600003494,
130
+ 0.04938669799997797,
131
+ 0.04859225600000627,
132
+ 0.04839078800000607,
133
+ 0.049404180000010456,
134
+ 0.04922753799996826,
135
+ 0.05016188699994473,
136
+ 0.05048886500003391,
137
+ 0.04891408000003139,
138
+ 0.04646563499994727,
139
+ 0.04337712999995347
 
 
140
  ]
141
  },
142
  "throughput": {
143
  "unit": "samples/s",
144
+ "value": 20.414274235647074
145
  },
146
  "energy": {
147
  "unit": "kWh",
148
+ "cpu": 1.7700823870572179e-06,
149
+ "ram": 7.39717661043194e-08,
150
  "gpu": 0.0,
151
+ "total": 1.8440541531615373e-06
152
  },
153
  "efficiency": {
154
  "unit": "samples/kWh",
155
+ "value": 542283.4238818587
156
  }
157
  }
158
  }