IlyasMoutawwakil HF staff commited on
Commit
9285612
1 Parent(s): 0d36c23

Upload cpu_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub

Browse files
cpu_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json CHANGED
@@ -73,14 +73,14 @@
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
- "cpu_ram_mb": 16757.338112,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.3.1",
83
- "optimum_benchmark_commit": "2c28e6003745fe7e05d2d15f59cde0588e3c32a2",
84
  "transformers_version": "4.42.4",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.32.1",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 525.369344,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -108,24 +108,24 @@
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
- "total": 3.2846242969999935,
112
- "mean": 3.2846242969999935,
113
  "stdev": 0.0,
114
- "p50": 3.2846242969999935,
115
- "p90": 3.2846242969999935,
116
- "p95": 3.2846242969999935,
117
- "p99": 3.2846242969999935,
118
  "values": [
119
- 3.2846242969999935
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 9.79160335328844e-06,
126
- "ram": 4.0893634495252707e-07,
127
  "gpu": 0,
128
- "total": 1.0200539698240966e-05
129
  },
130
  "efficiency": null
131
  },
@@ -141,42 +141,42 @@
141
  "latency": {
142
  "unit": "s",
143
  "count": 12,
144
- "total": 1.0194086840000693,
145
- "mean": 0.08495072366667245,
146
- "stdev": 0.00468139742277822,
147
- "p50": 0.08667518200000757,
148
- "p90": 0.08814176110001881,
149
- "p95": 0.09046052560001527,
150
- "p99": 0.09269511312001129,
151
  "values": [
152
- 0.08784124300001395,
153
- 0.08754698900000335,
154
- 0.08641789200001426,
155
- 0.08693247200000087,
156
- 0.08637883800000168,
157
- 0.08694555599998921,
158
- 0.08817515200001935,
159
- 0.09325376000001029,
160
- 0.08173662300001183,
161
- 0.07733669399999599,
162
- 0.077218691000013,
163
- 0.07962477399999557
164
  ]
165
  },
166
  "throughput": {
167
  "unit": "samples/s",
168
- "value": 11.771530092242362
169
  },
170
  "energy": {
171
  "unit": "kWh",
172
- "cpu": 3.0379583692958216e-06,
173
- "ram": 1.2695982502185792e-07,
174
  "gpu": 0.0,
175
- "total": 3.16491819431768e-06
176
  },
177
  "efficiency": {
178
  "unit": "samples/kWh",
179
- "value": 315963.93290525116
180
  }
181
  }
182
  }
 
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
+ "cpu_ram_mb": 16757.342208,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.3.1",
83
+ "optimum_benchmark_commit": "92716b19cf9a85489ef44066dcea60e154b460dc",
84
  "transformers_version": "4.42.4",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.32.1",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 525.43488,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 3.3064021270000126,
112
+ "mean": 3.3064021270000126,
113
  "stdev": 0.0,
114
+ "p50": 3.3064021270000126,
115
+ "p90": 3.3064021270000126,
116
+ "p95": 3.3064021270000126,
117
+ "p99": 3.3064021270000126,
118
  "values": [
119
+ 3.3064021270000126
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 9.759634070926243e-06,
126
+ "ram": 4.0751592243168485e-07,
127
  "gpu": 0,
128
+ "total": 1.0167149993357928e-05
129
  },
130
  "efficiency": null
131
  },
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 12,
144
+ "total": 1.0431031779999955,
145
+ "mean": 0.08692526483333296,
146
+ "stdev": 0.006704532313794684,
147
+ "p50": 0.09025565250000511,
148
+ "p90": 0.09225927279999269,
149
+ "p95": 0.09408871415000135,
150
+ "p99": 0.09580480523000802,
151
  "values": [
152
+ 0.09159013899997603,
153
+ 0.09051025500002652,
154
+ 0.0900010499999837,
155
+ 0.09081693899997845,
156
+ 0.08903502100000082,
157
+ 0.09144192000002249,
158
+ 0.09233362099999454,
159
+ 0.09623382800000968,
160
+ 0.07968103599998244,
161
+ 0.07673825199998419,
162
+ 0.077030370000017,
163
+ 0.07769074700001966
164
  ]
165
  },
166
  "throughput": {
167
  "unit": "samples/s",
168
+ "value": 11.50413521221201
169
  },
170
  "energy": {
171
  "unit": "kWh",
172
+ "cpu": 3.0620080793005796e-06,
173
+ "ram": 1.279668483239395e-07,
174
  "gpu": 0.0,
175
+ "total": 3.1899749276245192e-06
176
  },
177
  "efficiency": {
178
  "unit": "samples/kWh",
179
+ "value": 313482.08769298095
180
  }
181
  }
182
  }