IlyasMoutawwakil HF staff commited on
Commit
3b5dd0a
1 Parent(s): 2fd80fe

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": "38f0318f4feebeb8f77039a7ad46d326574675d5",
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": 785.526784,
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": 4.323726154000042,
112
- "mean": 4.323726154000042,
113
  "stdev": 0.0,
114
- "p50": 4.323726154000042,
115
- "p90": 4.323726154000042,
116
- "p95": 4.323726154000042,
117
- "p99": 4.323726154000042,
118
  "values": [
119
- 4.323726154000042
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 4.474525035555562e-05,
126
- "ram": 1.870113763036198e-06,
127
  "gpu": 0,
128
- "total": 4.661536411859182e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 811.159552,
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": 1.0218554850000032,
145
- "mean": 0.2554638712500008,
146
- "stdev": 0.0126708407276444,
147
- "p50": 0.26216983349999623,
148
- "p90": 0.26378415740000494,
149
- "p95": 0.26384356070000764,
150
- "p99": 0.2638910833400098,
151
  "values": [
152
- 0.26350694199999225,
153
- 0.26390296400001034,
154
- 0.2608327250000002,
155
- 0.23361285400000043
156
  ]
157
  },
158
  "throughput": {
159
  "unit": "samples/s",
160
- "value": 3.914447843865111
161
  },
162
  "energy": {
163
  "unit": "kWh",
164
- "cpu": 9.221344408889093e-06,
165
- "ram": 3.8539128803551207e-07,
166
  "gpu": 0.0,
167
- "total": 9.606735696924606e-06
168
  },
169
  "efficiency": {
170
  "unit": "samples/kWh",
171
- "value": 104093.63092190919
172
  }
173
  }
174
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "748f9b438ee8e37818f442e8e398fa1beb7f763c",
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": 809.398272,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.206895333999967,
112
+ "mean": 4.206895333999967,
113
  "stdev": 0.0,
114
+ "p50": 4.206895333999967,
115
+ "p90": 4.206895333999967,
116
+ "p95": 4.206895333999967,
117
+ "p99": 4.206895333999967,
118
  "values": [
119
+ 4.206895333999967
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 4.4455149005557046e-05,
126
+ "ram": 1.8579842989956907e-06,
127
  "gpu": 0,
128
+ "total": 4.6313133304552735e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 830.107648,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 4,
144
+ "total": 1.0198522749999483,
145
+ "mean": 0.2549630687499871,
146
+ "stdev": 0.011443458932367812,
147
+ "p50": 0.2594500124999968,
148
+ "p90": 0.26407830899998996,
149
+ "p95": 0.2646589274999826,
150
+ "p99": 0.2651234222999767,
151
  "values": [
152
+ 0.25753126899996914,
153
+ 0.2613687560000244,
154
+ 0.26523954599997523,
155
+ 0.23571270399997957
156
  ]
157
  },
158
  "throughput": {
159
  "unit": "samples/s",
160
+ "value": 3.922136664351906
161
  },
162
  "energy": {
163
  "unit": "kWh",
164
+ "cpu": 9.124029833333669e-06,
165
+ "ram": 3.8131494376772907e-07,
166
  "gpu": 0.0,
167
+ "total": 9.505344777101398e-06
168
  },
169
  "efficiency": {
170
  "unit": "samples/kWh",
171
+ "value": 105203.9692877868
172
  }
173
  }
174
  }