IlyasMoutawwakil HF staff commited on
Commit
0f314db
1 Parent(s): 9b0d48e

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": "e1b2533cc248426321f96c19cea6b85683224daa",
84
  "transformers_version": "4.44.0",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 809.209856,
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": 3.9177425340000127,
112
- "mean": 3.9177425340000127,
113
  "stdev": 0.0,
114
- "p50": 3.9177425340000127,
115
- "p90": 3.9177425340000127,
116
- "p95": 3.9177425340000127,
117
- "p99": 3.9177425340000127,
118
  "values": [
119
- 3.9177425340000127
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 4.305626352222179e-05,
126
- "ram": 1.7995318090471585e-06,
127
  "gpu": 0,
128
- "total": 4.4855795331268946e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 827.559936,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -140,36 +140,35 @@
140
  },
141
  "latency": {
142
  "unit": "s",
143
- "count": 5,
144
- "total": 1.1584595520000107,
145
- "mean": 0.23169191040000214,
146
- "stdev": 0.014995609436414457,
147
- "p50": 0.2316248600000108,
148
- "p90": 0.24872312119999834,
149
- "p95": 0.24950704960000394,
150
- "p99": 0.25013419232000844,
151
  "values": [
152
- 0.2463713359999815,
153
- 0.25029097800000955,
154
- 0.2316248600000108,
155
- 0.21269597999997814,
156
- 0.2174763980000307
157
  ]
158
  },
159
  "throughput": {
160
  "unit": "samples/s",
161
- "value": 4.316076458058291
162
  },
163
  "energy": {
164
  "unit": "kWh",
165
- "cpu": 8.39914214222208e-06,
166
- "ram": 3.510286483697618e-07,
167
  "gpu": 0.0,
168
- "total": 8.750170790591841e-06
169
  },
170
  "efficiency": {
171
  "unit": "samples/kWh",
172
- "value": 114283.48359499419
173
  }
174
  }
175
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "8b759bc0742b6984132ce7d4aeb59966503ba57b",
84
  "transformers_version": "4.44.0",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 807.264256,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.2815143609999495,
112
+ "mean": 4.2815143609999495,
113
  "stdev": 0.0,
114
+ "p50": 4.2815143609999495,
115
+ "p90": 4.2815143609999495,
116
+ "p95": 4.2815143609999495,
117
+ "p99": 4.2815143609999495,
118
  "values": [
119
+ 4.2815143609999495
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 4.6041072194445106e-05,
126
+ "ram": 1.924266115211221e-06,
127
  "gpu": 0,
128
+ "total": 4.796533830965633e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 825.52832,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
140
  },
141
  "latency": {
142
  "unit": "s",
143
+ "count": 4,
144
+ "total": 1.000807808999923,
145
+ "mean": 0.25020195224998076,
146
+ "stdev": 0.011470027302182197,
147
+ "p50": 0.25566633149998097,
148
+ "p90": 0.25852821309999285,
149
+ "p95": 0.2586832880499941,
150
+ "p99": 0.25880734800999505,
151
  "values": [
152
+ 0.25780452999998715,
153
+ 0.2588383629999953,
154
+ 0.2535281329999748,
155
+ 0.23063678299996582
 
156
  ]
157
  },
158
  "throughput": {
159
  "unit": "samples/s",
160
+ "value": 3.9967713721149707
161
  },
162
  "energy": {
163
  "unit": "kWh",
164
+ "cpu": 8.931794410000167e-06,
165
+ "ram": 3.7328915128603945e-07,
166
  "gpu": 0.0,
167
+ "total": 9.305083561286208e-06
168
  },
169
  "efficiency": {
170
  "unit": "samples/kWh",
171
+ "value": 107468.13754155838
172
  }
173
  }
174
  }