IlyasMoutawwakil HF staff commited on
Commit
c78b194
1 Parent(s): 196d72d

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": "d9ffe3b3809e940419695c4a39c0122d5a6e1611",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.34.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 808.435712,
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": 4.394215789999976,
112
- "mean": 4.394215789999976,
113
  "stdev": 0.0,
114
- "p50": 4.394215789999976,
115
- "p90": 4.394215789999976,
116
- "p95": 4.394215789999976,
117
- "p99": 4.394215789999976,
118
  "values": [
119
- 4.394215789999976
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 5.093830108888856e-05,
126
- "ram": 2.128989555270999e-06,
127
  "gpu": 0,
128
- "total": 5.306729064415956e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 829.628416,
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": 1.0011304329999575,
145
- "mean": 0.2502826082499894,
146
- "stdev": 0.016340287402432575,
147
- "p50": 0.25226582249999296,
148
- "p90": 0.26688133789997437,
149
- "p95": 0.26850901894997037,
150
- "p99": 0.26981116378996717,
151
  "values": [
152
- 0.27013669999996637,
153
- 0.25928549299999304,
154
- 0.2452461519999929,
155
- 0.22646208800000522
156
  ]
157
  },
158
  "throughput": {
159
  "unit": "samples/s",
160
- "value": 3.995483373743539
161
  },
162
  "energy": {
163
  "unit": "kWh",
164
- "cpu": 8.882964548889101e-06,
165
- "ram": 3.712501560723008e-07,
166
  "gpu": 0.0,
167
- "total": 9.254214704961402e-06
168
  },
169
  "efficiency": {
170
  "unit": "samples/kWh",
171
- "value": 108058.87175536099
172
  }
173
  }
174
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "f9861fced16a3dc82c7a05e66fd9a3b22cd9c663",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.34.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 806.944768,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.197078986000008,
112
+ "mean": 4.197078986000008,
113
  "stdev": 0.0,
114
+ "p50": 4.197078986000008,
115
+ "p90": 4.197078986000008,
116
+ "p95": 4.197078986000008,
117
+ "p99": 4.197078986000008,
118
  "values": [
119
+ 4.197078986000008
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 4.465552956666715e-05,
126
+ "ram": 1.8663702388957946e-06,
127
  "gpu": 0,
128
+ "total": 4.652189980556294e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 830.496768,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 4,
144
+ "total": 1.0096082390000447,
145
+ "mean": 0.2524020597500112,
146
+ "stdev": 0.017227246880075917,
147
+ "p50": 0.2528319930000009,
148
+ "p90": 0.2706647781000129,
149
+ "p95": 0.27297349605001386,
150
+ "p99": 0.2748204704100147,
151
  "values": [
152
+ 0.2598907610000083,
153
+ 0.27528221400001485,
154
+ 0.24577322499999354,
155
+ 0.22866203900002802
156
  ]
157
  },
158
  "throughput": {
159
  "unit": "samples/s",
160
+ "value": 3.9619328027292604
161
  },
162
  "energy": {
163
  "unit": "kWh",
164
+ "cpu": 8.918709053333361e-06,
165
+ "ram": 3.727430157860671e-07,
166
  "gpu": 0.0,
167
+ "total": 9.291452069119428e-06
168
  },
169
  "efficiency": {
170
  "unit": "samples/kWh",
171
+ "value": 107625.80407894978
172
  }
173
  }
174
  }