IlyasMoutawwakil HF staff commited on
Commit
5f9db22
1 Parent(s): 0422532

Upload cpu_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub

Browse files
cpu_inference_transformers_token-classification_microsoft/deberta-v3-base/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": "b41c364fc95b27c894c71df85ec2bf4c8adb0e4d",
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": 1177.51808,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -108,37 +108,37 @@
108
  "latency": {
109
  "unit": "s",
110
  "count": 7,
111
- "total": 1.0894322819999616,
112
- "mean": 0.15563318314285166,
113
- "stdev": 0.007382221320041317,
114
- "p50": 0.15739230899998802,
115
- "p90": 0.1606422415999873,
116
- "p95": 0.16249243129999513,
117
- "p99": 0.1639725830600014,
118
  "values": [
119
- 0.15817532199997686,
120
- 0.15777282600004128,
121
- 0.15641482399996676,
122
- 0.15672163400000727,
123
- 0.15739230899998802,
124
- 0.16434262100000296,
125
- 0.13861274599997842
126
  ]
127
  },
128
  "throughput": {
129
  "unit": "samples/s",
130
- "value": 6.4253649498521535
131
  },
132
  "energy": {
133
  "unit": "kWh",
134
- "cpu": 5.382729404502445e-06,
135
- "ram": 2.2495776380960564e-07,
136
  "gpu": 0.0,
137
- "total": 5.607687168312051e-06
138
  },
139
  "efficiency": {
140
  "unit": "samples/kWh",
141
- "value": 178326.63805691683
142
  }
143
  }
144
  }
 
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": "8d79709992edcccdc1bf81d55005e3bb3ccf994a",
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": 1177.595904,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 7,
111
+ "total": 1.0650110639999184,
112
+ "mean": 0.15214443771427405,
113
+ "stdev": 0.0060381446223035885,
114
+ "p50": 0.15168873499999336,
115
+ "p90": 0.15823059879998028,
116
+ "p95": 0.15893157489999793,
117
+ "p99": 0.15949235578001209,
118
  "values": [
119
+ 0.15406696000002285,
120
+ 0.1596325510000156,
121
+ 0.15167137999998204,
122
+ 0.15147354499998755,
123
+ 0.15168873499999336,
124
+ 0.1572959639999567,
125
+ 0.1391819289999603
126
  ]
127
  },
128
  "throughput": {
129
  "unit": "samples/s",
130
+ "value": 6.5727016710133785
131
  },
132
  "energy": {
133
  "unit": "kWh",
134
+ "cpu": 5.399845209386614e-06,
135
+ "ram": 2.2567455911556065e-07,
136
  "gpu": 0.0,
137
+ "total": 5.625519768502175e-06
138
  },
139
  "efficiency": {
140
  "unit": "samples/kWh",
141
+ "value": 177761.35204414284
142
  }
143
  }
144
  }