IlyasMoutawwakil HF staff commited on
Commit
92b0035
1 Parent(s): ca99b6a

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": "3.10.15",
82
  "optimum_benchmark_version": "0.4.0",
83
- "optimum_benchmark_commit": "4f377554af3ee54c159bc072e03cb9d8efa78a7b",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.34.2",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 802.582528,
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": 4.205158718000007,
112
- "mean": 4.205158718000007,
113
  "stdev": 0.0,
114
- "p50": 4.205158718000007,
115
- "p90": 4.205158718000007,
116
- "p95": 4.205158718000007,
117
- "p99": 4.205158718000007,
118
  "values": [
119
- 4.205158718000007
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 4.526532974444359e-05,
126
- "ram": 1.8929290276780034e-06,
127
  "gpu": 0,
128
- "total": 4.7158258772121595e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 821.469184,
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": 1.0021183039999642,
145
- "mean": 0.25052957599999104,
146
- "stdev": 0.015744438415233646,
147
- "p50": 0.2516887274999817,
148
- "p90": 0.26684554480001454,
149
- "p95": 0.26768899840002974,
150
- "p99": 0.2683637612800419,
151
  "values": [
152
- 0.26290942799994355,
153
- 0.26853245200004494,
154
- 0.2404680270000199,
155
- 0.23020839699995577
156
  ]
157
  },
158
  "throughput": {
159
  "unit": "samples/s",
160
- "value": 3.9915446949067435
161
  },
162
  "energy": {
163
  "unit": "kWh",
164
- "cpu": 9.014395281111042e-06,
165
- "ram": 3.7695790621819165e-07,
166
  "gpu": 0.0,
167
- "total": 9.391353187329233e-06
168
  },
169
  "efficiency": {
170
  "unit": "samples/kWh",
171
- "value": 106480.92772713468
172
  }
173
  }
174
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.15",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "99a90c9b7ca414e68efe537586f446369de53efc",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.34.2",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 802.947072,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.32735450499996,
112
+ "mean": 4.32735450499996,
113
  "stdev": 0.0,
114
+ "p50": 4.32735450499996,
115
+ "p90": 4.32735450499996,
116
+ "p95": 4.32735450499996,
117
+ "p99": 4.32735450499996,
118
  "values": [
119
+ 4.32735450499996
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 4.6575968288888395e-05,
126
+ "ram": 1.947733569026168e-06,
127
  "gpu": 0,
128
+ "total": 4.852370185791456e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 826.273792,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 4,
144
+ "total": 1.0159775540000169,
145
+ "mean": 0.2539943885000042,
146
+ "stdev": 0.013939765088238968,
147
+ "p50": 0.2592677815000002,
148
+ "p90": 0.26575294439999764,
149
+ "p95": 0.2658412527000024,
150
+ "p99": 0.26591189934000625,
151
  "values": [
152
+ 0.2653408389999754,
153
+ 0.2659295610000072,
154
+ 0.25319472400002496,
155
+ 0.23151243000000932
156
  ]
157
  },
158
  "throughput": {
159
  "unit": "samples/s",
160
+ "value": 3.9370948543612543
161
  },
162
  "energy": {
163
  "unit": "kWh",
164
+ "cpu": 9.087303991111009e-06,
165
+ "ram": 3.7999585683672717e-07,
166
  "gpu": 0.0,
167
+ "total": 9.467299847947735e-06
168
  },
169
  "efficiency": {
170
  "unit": "samples/kWh",
171
+ "value": 105626.73793592521
172
  }
173
  }
174
  }