IlyasMoutawwakil HF staff commited on
Commit
b3ea557
·
verified ·
1 Parent(s): 5d2e387

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
@@ -80,7 +80,7 @@
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
- "optimum_benchmark_commit": "bca546ad398da0b080272f4f8173e22ecca10c92",
84
  "transformers_version": "4.44.0",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 807.215104,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -108,31 +108,31 @@
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
- "total": 4.359310391000008,
112
- "mean": 4.359310391000008,
113
  "stdev": 0.0,
114
- "p50": 4.359310391000008,
115
- "p90": 4.359310391000008,
116
- "p95": 4.359310391000008,
117
- "p99": 4.359310391000008,
118
  "values": [
119
- 4.359310391000008
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 4.564348211111104e-05,
126
- "ram": 1.9076467254601152e-06,
127
  "gpu": 0,
128
- "total": 4.755112883657115e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 825.565184,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -140,36 +140,35 @@
140
  },
141
  "latency": {
142
  "unit": "s",
143
- "count": 5,
144
- "total": 1.212788119000038,
145
- "mean": 0.24255762380000762,
146
- "stdev": 0.01332225110019387,
147
- "p50": 0.2501761350000038,
148
- "p90": 0.2551715290000061,
149
- "p95": 0.2557806819999996,
150
- "p99": 0.2562680043999944,
151
  "values": [
152
- 0.25334407000002557,
153
- 0.2563898349999931,
154
- 0.2501761350000038,
155
- 0.22745765400003393,
156
- 0.2254204249999816
157
  ]
158
  },
159
  "throughput": {
160
  "unit": "samples/s",
161
- "value": 4.1227316805532155
162
  },
163
  "energy": {
164
  "unit": "kWh",
165
- "cpu": 8.932078469999853e-06,
166
- "ram": 3.733037303497941e-07,
167
  "gpu": 0.0,
168
- "total": 9.305382200349646e-06
169
  },
170
  "efficiency": {
171
  "unit": "samples/kWh",
172
- "value": 107464.68855007646
173
  }
174
  }
175
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "f58a585c7841c260a82e0bd723177e7f242fbb1f",
84
  "transformers_version": "4.44.0",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 812.253184,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.268177820000005,
112
+ "mean": 4.268177820000005,
113
  "stdev": 0.0,
114
+ "p50": 4.268177820000005,
115
+ "p90": 4.268177820000005,
116
+ "p95": 4.268177820000005,
117
+ "p99": 4.268177820000005,
118
  "values": [
119
+ 4.268177820000005
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 4.476909597222358e-05,
126
+ "ram": 1.8710982855211313e-06,
127
  "gpu": 0,
128
+ "total": 4.664019425774471e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 830.210048,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
140
  },
141
  "latency": {
142
  "unit": "s",
143
+ "count": 4,
144
+ "total": 1.0016492770000696,
145
+ "mean": 0.2504123192500174,
146
+ "stdev": 0.011809881284833965,
147
+ "p50": 0.25505131400001346,
148
+ "p90": 0.26014311700004666,
149
+ "p95": 0.26036549350004917,
150
+ "p99": 0.26054339470005117,
151
  "values": [
152
+ 0.25910536000003503,
153
+ 0.2605878700000517,
154
+ 0.2509972679999919,
155
+ 0.23095877899999095
 
156
  ]
157
  },
158
  "throughput": {
159
  "unit": "samples/s",
160
+ "value": 3.993413754542871
161
  },
162
  "energy": {
163
  "unit": "kWh",
164
+ "cpu": 9.109369951111148e-06,
165
+ "ram": 3.8071248964355975e-07,
166
  "gpu": 0.0,
167
+ "total": 9.490082440754709e-06
168
  },
169
  "efficiency": {
170
  "unit": "samples/kWh",
171
+ "value": 105373.16258766598
172
  }
173
  }
174
  }