IlyasMoutawwakil HF staff commited on
Commit
adc2685
1 Parent(s): df0ea3b

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": 16757.346304,
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": "40484fbc84921b66f5da6e6dc8e14a8bfa42b562",
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": 867.192832,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -108,53 +108,53 @@
108
  "latency": {
109
  "unit": "s",
110
  "count": 23,
111
- "total": 1.0319655949999742,
112
- "mean": 0.04486806934782497,
113
- "stdev": 0.0007351857013570321,
114
- "p50": 0.044834090999984255,
115
- "p90": 0.045706483000009256,
116
- "p95": 0.045965729699997834,
117
- "p99": 0.04601353702000381,
118
  "values": [
119
- 0.0457198020000078,
120
- 0.04462818499999344,
121
- 0.0452302340000017,
122
- 0.04310308399999485,
123
- 0.045015270999982704,
124
- 0.04481695900000204,
125
- 0.044471761000011156,
126
- 0.04479900500001577,
127
- 0.04406564900000376,
128
- 0.043174829000008685,
129
- 0.04599305499999673,
130
- 0.0447862209999812,
131
- 0.04456315199999494,
132
- 0.04493030099999373,
133
- 0.04565320700001507,
134
- 0.044434019999982866,
135
- 0.04502801399999612,
136
- 0.04521877299998778,
137
- 0.046019314000005807,
138
- 0.04443181600001367,
139
- 0.044834090999984255,
140
- 0.04556956100000775,
141
- 0.04547929099999237
142
  ]
143
  },
144
  "throughput": {
145
  "unit": "samples/s",
146
- "value": 22.287564732233708
147
  },
148
  "energy": {
149
  "unit": "kWh",
150
- "cpu": 1.5243365214421198e-06,
151
- "ram": 6.370109430564278e-08,
152
  "gpu": 0.0,
153
- "total": 1.5880376157477624e-06
154
  },
155
  "efficiency": {
156
  "unit": "samples/kWh",
157
- "value": 629708.0057068598
158
  }
159
  }
160
  }
 
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
+ "cpu_ram_mb": 16757.342208,
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": "47f521462daae132cf29116243bfd11ec14edd99",
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": 866.947072,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 23,
111
+ "total": 1.0295602170000393,
112
+ "mean": 0.04476348769565388,
113
+ "stdev": 0.0010925974892624364,
114
+ "p50": 0.044802524999965954,
115
+ "p90": 0.04577910000001566,
116
+ "p95": 0.04644570490001456,
117
+ "p99": 0.04771844312004419,
118
  "values": [
119
+ 0.045091314999979204,
120
+ 0.04467135900000585,
121
+ 0.044824196000035954,
122
+ 0.043157878000045,
123
+ 0.04550121200003332,
124
+ 0.048058707000052436,
125
+ 0.044345739999982925,
126
+ 0.04488376699998753,
127
+ 0.043225833999997576,
128
+ 0.043412444000011874,
129
+ 0.04516061399999671,
130
+ 0.04465886599996338,
131
+ 0.04447763699999996,
132
+ 0.045311216000015975,
133
+ 0.045848572000011245,
134
+ 0.04338967099999991,
135
+ 0.04486640400000397,
136
+ 0.04651205300001493,
137
+ 0.044477175999986684,
138
+ 0.04339041299999735,
139
+ 0.044802524999965954,
140
+ 0.045149442999957046,
141
+ 0.04434317499999452
142
  ]
143
  },
144
  "throughput": {
145
  "unit": "samples/s",
146
+ "value": 22.339635526145358
147
  },
148
  "energy": {
149
  "unit": "kWh",
150
+ "cpu": 1.4743383038681723e-06,
151
+ "ram": 6.161381126389642e-08,
152
  "gpu": 0.0,
153
+ "total": 1.5359521151320688e-06
154
  },
155
  "efficiency": {
156
  "unit": "samples/kWh",
157
+ "value": 651061.9635521743
158
  }
159
  }
160
  }