IlyasMoutawwakil HF staff commited on
Commit
57e9e9c
1 Parent(s): f08047d

Upload cpu_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub

Browse files
cpu_inference_transformers_image-classification_google/vit-base-patch16-224/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": "b0a0b933f18d5fa56eadb290a26cc2099f2dd4d8",
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": 796.340224,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -108,34 +108,34 @@
108
  "latency": {
109
  "unit": "s",
110
  "count": 4,
111
- "total": 1.2381508469999858,
112
- "mean": 0.30953771174999645,
113
- "stdev": 0.044093181400201575,
114
- "p50": 0.3017179309999847,
115
- "p90": 0.35917103029999,
116
- "p95": 0.36752972914999305,
117
- "p99": 0.3742166882299955,
118
  "values": [
119
- 0.2832720929999937,
120
- 0.3758884279999961,
121
- 0.3201637689999757,
122
- 0.25882655700002033
123
  ]
124
  },
125
  "throughput": {
126
  "unit": "samples/s",
127
- "value": 3.2306241276593384
128
  },
129
  "energy": {
130
  "unit": "kWh",
131
- "cpu": 9.808777107132806e-06,
132
- "ram": 4.0991269404225744e-07,
133
  "gpu": 0.0,
134
- "total": 1.0218689801175064e-05
135
  },
136
  "efficiency": {
137
  "unit": "samples/kWh",
138
- "value": 97859.90371143357
139
  }
140
  }
141
  }
 
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
+ "cpu_ram_mb": 16757.338112,
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": "3e2eebdc0f80ae6deeb2e1faad3e889ed5a4df2d",
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": 795.283456,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 4,
111
+ "total": 1.1651409320000425,
112
+ "mean": 0.29128523300001063,
113
+ "stdev": 0.011655637708947399,
114
+ "p50": 0.29692046700000674,
115
+ "p90": 0.299744849900037,
116
+ "p95": 0.29979450395003937,
117
+ "p99": 0.29983422719004127,
118
  "values": [
119
+ 0.2943278029999874,
120
+ 0.2995131310000261,
121
+ 0.2998441580000417,
122
+ 0.27145583999998735
123
  ]
124
  },
125
  "throughput": {
126
  "unit": "samples/s",
127
+ "value": 3.4330610917030713
128
  },
129
  "energy": {
130
  "unit": "kWh",
131
+ "cpu": 1.0235568881034852e-05,
132
+ "ram": 4.277668870819203e-07,
133
  "gpu": 0.0,
134
+ "total": 1.0663335768116772e-05
135
  },
136
  "efficiency": {
137
  "unit": "samples/kWh",
138
+ "value": 93779.28462029548
139
  }
140
  }
141
  }