IlyasMoutawwakil HF staff commited on
Commit
98ad692
1 Parent(s): 5566e01

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": "ea76e356b5c355783ee27d2d429a010ded791f8b",
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": 809.377792,
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": 4.348420954999995,
112
- "mean": 4.348420954999995,
113
  "stdev": 0.0,
114
- "p50": 4.348420954999995,
115
- "p90": 4.348420954999995,
116
- "p95": 4.348420954999995,
117
- "p99": 4.348420954999995,
118
  "values": [
119
- 4.348420954999995
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 4.543861692222196e-05,
126
- "ram": 1.899090052173262e-06,
127
  "gpu": 0,
128
- "total": 4.733770697439522e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 827.817984,
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": 1.002038495000022,
145
- "mean": 0.2505096237500055,
146
- "stdev": 0.012468017356514705,
147
- "p50": 0.2562477745000251,
148
- "p90": 0.2599735136999925,
149
- "p95": 0.25997608034998054,
150
- "p99": 0.2599781336699709,
151
  "values": [
152
- 0.25997864699996853,
153
- 0.25996153600004845,
154
- 0.2525340130000018,
155
- 0.2295642990000033
156
  ]
157
  },
158
  "throughput": {
159
  "unit": "samples/s",
160
- "value": 3.99186260803275
161
  },
162
  "energy": {
163
  "unit": "kWh",
164
- "cpu": 9.069214668889016e-06,
165
- "ram": 3.7903234033188243e-07,
166
  "gpu": 0.0,
167
- "total": 9.4482470092209e-06
168
  },
169
  "efficiency": {
170
  "unit": "samples/kWh",
171
- "value": 105839.73926846561
172
  }
173
  }
174
  }
 
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
  "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
  "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
  "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
  }