IlyasMoutawwakil HF staff commited on
Commit
708bfb2
1 Parent(s): 3225f1b

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": "7c1c92eb7fe6a1466152b84a3e74c940c2382134",
84
  "transformers_version": "4.43.3",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 785.711104,
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": 4.609599749999916,
112
- "mean": 4.609599749999916,
113
  "stdev": 0.0,
114
- "p50": 4.609599749999916,
115
- "p90": 4.609599749999916,
116
- "p95": 4.609599749999916,
117
- "p99": 4.609599749999916,
118
  "values": [
119
- 4.609599749999916
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 5.106452173656888e-05,
126
- "ram": 2.1342042099661285e-06,
127
  "gpu": 0,
128
- "total": 5.319872594653501e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 816.939008,
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": 1.081749203999948,
145
- "mean": 0.270437300999987,
146
- "stdev": 0.01204438161248247,
147
- "p50": 0.27545046999995293,
148
- "p90": 0.2801629066999908,
149
- "p95": 0.28019045284999605,
150
- "p99": 0.2802124897700003,
151
  "values": [
152
- 0.2708665819999396,
153
- 0.2802179990000013,
154
- 0.28003435799996623,
155
- 0.2506302650000407
156
  ]
157
  },
158
  "throughput": {
159
  "unit": "samples/s",
160
- "value": 3.6977147616188057
161
  },
162
  "energy": {
163
  "unit": "kWh",
164
- "cpu": 9.471882714165583e-06,
165
- "ram": 3.958617467289969e-07,
166
  "gpu": 0.0,
167
- "total": 9.867744460894578e-06
168
  },
169
  "efficiency": {
170
  "unit": "samples/kWh",
171
- "value": 101340.28135436162
172
  }
173
  }
174
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "3d7258bc53700ac83eb355d4dbbeac8dec4eb496",
84
  "transformers_version": "4.43.3",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 814.706688,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.333187389999978,
112
+ "mean": 4.333187389999978,
113
  "stdev": 0.0,
114
+ "p50": 4.333187389999978,
115
+ "p90": 4.333187389999978,
116
+ "p95": 4.333187389999978,
117
+ "p99": 4.333187389999978,
118
  "values": [
119
+ 4.333187389999978
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 4.605575667487251e-05,
126
+ "ram": 1.9248936143685566e-06,
127
  "gpu": 0,
128
+ "total": 4.7980650289241066e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 832.925696,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 4,
144
+ "total": 1.019535770999937,
145
+ "mean": 0.25488394274998427,
146
+ "stdev": 0.00975928681341412,
147
+ "p50": 0.25989324849996365,
148
+ "p90": 0.261374058299981,
149
+ "p95": 0.2615356246499886,
150
+ "p99": 0.2616648777299946,
151
  "values": [
152
+ 0.2591664149999815,
153
+ 0.2616971909999961,
154
+ 0.2606200819999458,
155
+ 0.23805208300001368
156
  ]
157
  },
158
  "throughput": {
159
  "unit": "samples/s",
160
+ "value": 3.923354249823812
161
  },
162
  "energy": {
163
  "unit": "kWh",
164
+ "cpu": 9.20452568266127e-06,
165
+ "ram": 3.846878742879199e-07,
166
  "gpu": 0.0,
167
+ "total": 9.58921355694919e-06
168
  },
169
  "efficiency": {
170
  "unit": "samples/kWh",
171
+ "value": 104283.83871744225
172
  }
173
  }
174
  }