IlyasMoutawwakil HF staff commited on
Commit
02160e1
1 Parent(s): 7c8bfbe

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": "c2e7ced42ba50e7f8df99cc59a15fc2a011efbd6",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 809.693184,
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": 4.26632663700002,
112
- "mean": 4.26632663700002,
113
  "stdev": 0.0,
114
- "p50": 4.26632663700002,
115
- "p90": 4.26632663700002,
116
- "p95": 4.26632663700002,
117
- "p99": 4.26632663700002,
118
  "values": [
119
- 4.26632663700002
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 4.562082307222176e-05,
126
- "ram": 1.9067213597048845e-06,
127
  "gpu": 0,
128
- "total": 4.7527544431926646e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 827.912192,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -141,34 +141,34 @@
141
  "latency": {
142
  "unit": "s",
143
  "count": 4,
144
- "total": 1.0043438529999662,
145
- "mean": 0.25108596324999155,
146
- "stdev": 0.012726368899200768,
147
- "p50": 0.25604852050000204,
148
- "p90": 0.26157928219998894,
149
- "p95": 0.2618719285999873,
150
- "p99": 0.262106045719986,
151
  "values": [
152
- 0.2602135989999965,
153
- 0.2621645749999857,
154
- 0.25188344200000756,
155
- 0.23008223699997643
156
  ]
157
  },
158
  "throughput": {
159
  "unit": "samples/s",
160
- "value": 3.9826997377960103
161
  },
162
  "energy": {
163
  "unit": "kWh",
164
- "cpu": 9.004629285555743e-06,
165
- "ram": 3.763355744366079e-07,
166
  "gpu": 0.0,
167
- "total": 9.38096485999235e-06
168
  },
169
  "efficiency": {
170
  "unit": "samples/kWh",
171
- "value": 106598.84296814384
172
  }
173
  }
174
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "a074a05b924b05dffbc3b2f3392d72d3b68c22b7",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 809.644032,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.324646561000009,
112
+ "mean": 4.324646561000009,
113
  "stdev": 0.0,
114
+ "p50": 4.324646561000009,
115
+ "p90": 4.324646561000009,
116
+ "p95": 4.324646561000009,
117
+ "p99": 4.324646561000009,
118
  "values": [
119
+ 4.324646561000009
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 4.528163624444296e-05,
126
+ "ram": 1.8925191049192103e-06,
127
  "gpu": 0,
128
+ "total": 4.7174155349362164e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 828.125184,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 4,
144
+ "total": 1.124697187000038,
145
+ "mean": 0.2811742967500095,
146
+ "stdev": 0.04608578375197608,
147
+ "p50": 0.26804505850000737,
148
+ "p90": 0.3306110342000125,
149
+ "p95": 0.3436847831000136,
150
+ "p99": 0.3541437822200146,
151
  "values": [
152
+ 0.26648991100000785,
153
+ 0.35675853200001484,
154
+ 0.2696002060000069,
155
+ 0.23184853800000838
156
  ]
157
  },
158
  "throughput": {
159
  "unit": "samples/s",
160
+ "value": 3.556512851845396
161
  },
162
  "energy": {
163
  "unit": "kWh",
164
+ "cpu": 9.092344947777823e-06,
165
+ "ram": 3.7999606164013273e-07,
166
  "gpu": 0.0,
167
+ "total": 9.472341009417954e-06
168
  },
169
  "efficiency": {
170
  "unit": "samples/kWh",
171
+ "value": 105570.52359134259
172
  }
173
  }
174
  }