IlyasMoutawwakil HF staff commited on
Commit
6d983cb
1 Parent(s): c020b59

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": 16757.3504,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.1",
83
- "optimum_benchmark_commit": "079be6729111d58c45eb7f4a60e984bbf86c5a81",
84
  "transformers_version": "4.41.0",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.30.1",
@@ -99,7 +99,7 @@
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 1177.194496,
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": 1.068481492999922,
112
- "mean": 0.15264021328570315,
113
- "stdev": 0.00929336989781662,
114
- "p50": 0.15768829299997833,
115
- "p90": 0.1596611232000214,
116
- "p95": 0.1596893616000216,
117
- "p99": 0.15971195232002175,
118
  "values": [
119
- 0.15971760000002178,
120
- 0.15686585999998215,
121
- 0.15854406899995865,
122
- 0.15768829299997833,
123
- 0.15962347200002114,
124
- 0.13782100399998853,
125
- 0.13822119499997143
126
  ]
127
  },
128
  "throughput": {
129
  "unit": "samples/s",
130
- "value": 6.551353529153276
131
  },
132
  "energy": {
133
  "unit": "kWh",
134
- "cpu": 5.509105655882094e-06,
135
- "ram": 2.3024190337039843e-07,
136
  "gpu": 0.0,
137
- "total": 5.7393475592524926e-06
138
  },
139
  "efficiency": {
140
  "unit": "samples/kWh",
141
- "value": 174235.8325011846
142
  }
143
  }
144
  }
 
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
+ "cpu_ram_mb": 16757.354496,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.1",
83
+ "optimum_benchmark_commit": "619f91dd928d405e72e9e7724b958f1538ca7d80",
84
  "transformers_version": "4.41.0",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.30.1",
 
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 1176.879104,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 7,
111
+ "total": 1.0684538700000985,
112
+ "mean": 0.1526362671428712,
113
+ "stdev": 0.00703600539833766,
114
+ "p50": 0.1551263229999904,
115
+ "p90": 0.15963614920001418,
116
+ "p95": 0.16002126160000216,
117
+ "p99": 0.16032935151999253,
118
  "values": [
119
+ 0.16040637399999014,
120
+ 0.1542925910000008,
121
+ 0.1551263229999904,
122
+ 0.15545999300002222,
123
+ 0.15912266600003022,
124
+ 0.14299454400003242,
125
+ 0.14105137900003228
126
  ]
127
  },
128
  "throughput": {
129
  "unit": "samples/s",
130
+ "value": 6.551522902902073
131
  },
132
  "energy": {
133
  "unit": "kWh",
134
+ "cpu": 5.537380112542047e-06,
135
+ "ram": 2.3142222477272154e-07,
136
  "gpu": 0.0,
137
+ "total": 5.7688023373147685e-06
138
  },
139
  "efficiency": {
140
  "unit": "samples/kWh",
141
+ "value": 173346.2062881972
142
  }
143
  }
144
  }