IlyasMoutawwakil HF staff commited on
Commit
c7d8b7e
1 Parent(s): 4879088

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": "62a2cc4ddfa99ba27ab43fe4e9b20db8ad2f4cbb",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 809.664512,
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": 4.208800659000019,
112
- "mean": 4.208800659000019,
113
  "stdev": 0.0,
114
- "p50": 4.208800659000019,
115
- "p90": 4.208800659000019,
116
- "p95": 4.208800659000019,
117
- "p99": 4.208800659000019,
118
  "values": [
119
- 4.208800659000019
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 4.502883377222039e-05,
126
- "ram": 1.8819598115728024e-06,
127
  "gpu": 0,
128
- "total": 4.691079358379319e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 832.864256,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -140,35 +140,36 @@
140
  },
141
  "latency": {
142
  "unit": "s",
143
- "count": 4,
144
- "total": 1.0076611570000296,
145
- "mean": 0.2519152892500074,
146
- "stdev": 0.012519606924544409,
147
- "p50": 0.25783049599999686,
148
- "p90": 0.26102165100000435,
149
- "p95": 0.2612357865000007,
150
- "p99": 0.2614070948999978,
151
  "values": [
152
- 0.26144992199999706,
153
- 0.26002235200002133,
154
- 0.2556386399999724,
155
- 0.2305502430000388
 
156
  ]
157
  },
158
  "throughput": {
159
  "unit": "samples/s",
160
- "value": 3.9695883603459
161
  },
162
  "energy": {
163
  "unit": "kWh",
164
- "cpu": 9.020167449999818e-06,
165
- "ram": 3.7698316448377945e-07,
166
  "gpu": 0.0,
167
- "total": 9.397150614483596e-06
168
  },
169
  "efficiency": {
170
  "unit": "samples/kWh",
171
- "value": 106415.23596085868
172
  }
173
  }
174
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "5fb920708cddfa053b20bc358a29dcccc65d9215",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 809.750528,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.222623263000003,
112
+ "mean": 4.222623263000003,
113
  "stdev": 0.0,
114
+ "p50": 4.222623263000003,
115
+ "p90": 4.222623263000003,
116
+ "p95": 4.222623263000003,
117
+ "p99": 4.222623263000003,
118
  "values": [
119
+ 4.222623263000003
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 4.5764070955553395e-05,
126
+ "ram": 1.9127053679626923e-06,
127
  "gpu": 0,
128
+ "total": 4.767677632351609e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 837.763072,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
140
  },
141
  "latency": {
142
  "unit": "s",
143
+ "count": 5,
144
+ "total": 1.2279151769999999,
145
+ "mean": 0.24558303539999998,
146
+ "stdev": 0.014091188798398163,
147
+ "p50": 0.24964909900000976,
148
+ "p90": 0.2604215148000094,
149
+ "p95": 0.2610281084000235,
150
+ "p99": 0.26151338328003476,
151
  "values": [
152
+ 0.2586017339999671,
153
+ 0.2616347020000376,
154
+ 0.24964909900000976,
155
+ 0.22926095599996188,
156
+ 0.22876868600002354
157
  ]
158
  },
159
  "throughput": {
160
  "unit": "samples/s",
161
+ "value": 4.0719425035659444
162
  },
163
  "energy": {
164
  "unit": "kWh",
165
+ "cpu": 8.986849744444436e-06,
166
+ "ram": 3.7559119293167867e-07,
167
  "gpu": 0.0,
168
+ "total": 9.362440937376116e-06
169
  },
170
  "efficiency": {
171
  "unit": "samples/kWh",
172
+ "value": 106809.75257294989
173
  }
174
  }
175
  }