IlyasMoutawwakil HF staff commited on
Commit
4840830
1 Parent(s): f859d54

Upload cpu_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub

Browse files
cpu_inference_timm_image-classification_timm/resnet50.a1_in1k/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": 546.787328,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
@@ -106,44 +106,44 @@
106
  "latency": {
107
  "unit": "s",
108
  "count": 14,
109
- "total": 1.0403699929999561,
110
- "mean": 0.07431214235713972,
111
- "stdev": 0.0019887135250929704,
112
- "p50": 0.07346417499999802,
113
- "p90": 0.07647577649998709,
114
- "p95": 0.07783721329998912,
115
- "p99": 0.07947124985999267,
116
  "values": [
117
- 0.0737020130000019,
118
- 0.07322633699999415,
119
- 0.07586536599998794,
120
- 0.07301533499997959,
121
- 0.07273680500000523,
122
- 0.0731488410000054,
123
- 0.07312991700001703,
124
- 0.07298614999999131,
125
- 0.0720511260000194,
126
- 0.07415195199999403,
127
- 0.07465256599999748,
128
- 0.0750864449999824,
129
- 0.07987975899999356,
130
- 0.07673738099998673
131
  ]
132
  },
133
  "throughput": {
134
  "unit": "samples/s",
135
- "value": 13.456751054142131
136
  },
137
  "energy": {
138
  "unit": "kWh",
139
- "cpu": 2.603457327242251e-06,
140
- "ram": 1.0880067975828447e-07,
141
  "gpu": 0.0,
142
- "total": 2.7122580070005354e-06
143
  },
144
  "efficiency": {
145
  "unit": "samples/kWh",
146
- "value": 368696.4873617949
147
  }
148
  }
149
  }
 
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": 541.10208,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
 
106
  "latency": {
107
  "unit": "s",
108
  "count": 14,
109
+ "total": 1.0406575800000724,
110
+ "mean": 0.07433268428571946,
111
+ "stdev": 0.0041154069189802455,
112
+ "p50": 0.0751653220000037,
113
+ "p90": 0.07676030660001346,
114
+ "p95": 0.07887348475001232,
115
+ "p99": 0.08173928015000484,
116
  "values": [
117
+ 0.07694458400001736,
118
+ 0.07486159800001246,
119
+ 0.07499870500001293,
120
+ 0.07547921299999416,
121
+ 0.07413959900000577,
122
+ 0.07553465800000936,
123
+ 0.07520405900001492,
124
+ 0.07512658499999247,
125
+ 0.07577158099999792,
126
+ 0.07633032600000433,
127
+ 0.08245572900000298,
128
+ 0.07243239600001061,
129
+ 0.06529715499999611,
130
+ 0.06608139200000096
131
  ]
132
  },
133
  "throughput": {
134
  "unit": "samples/s",
135
+ "value": 13.453032264464
136
  },
137
  "energy": {
138
  "unit": "kWh",
139
+ "cpu": 2.5408515499697795e-06,
140
+ "ram": 1.0618682195525862e-07,
141
  "gpu": 0.0,
142
+ "total": 2.647038371925038e-06
143
  },
144
  "efficiency": {
145
  "unit": "samples/kWh",
146
+ "value": 377780.6965725086
147
  }
148
  }
149
  }