IlyasMoutawwakil HF staff commited on
Commit
3220aa0
1 Parent(s): bde064c

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
@@ -79,8 +79,8 @@
79
  "platform": "Linux-6.5.0-1022-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
- "optimum_benchmark_version": "0.3.0",
83
- "optimum_benchmark_commit": "2a75c0bc0d007cc875fa0f75ca41d02e46f917be",
84
  "transformers_version": "4.42.3",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.31.0",
@@ -99,7 +99,7 @@
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 539.746304,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -108,44 +108,44 @@
108
  "latency": {
109
  "unit": "s",
110
  "count": 14,
111
- "total": 1.0239002239999877,
112
- "mean": 0.07313573028571341,
113
- "stdev": 0.006445167427220199,
114
- "p50": 0.07244428999999286,
115
- "p90": 0.08301975839999047,
116
- "p95": 0.08708421989999522,
117
- "p99": 0.08746220478000793,
118
  "values": [
119
- 0.0741296449999993,
120
- 0.07284901700001001,
121
- 0.07222914400000491,
122
- 0.07154009000001338,
123
- 0.073411526000001,
124
- 0.0712042849999932,
125
- 0.07287901600000168,
126
- 0.07233523200000036,
127
- 0.08682980699998666,
128
- 0.07255334799998536,
129
- 0.08755670100001112,
130
- 0.06567085699998643,
131
- 0.06534289399999693,
132
- 0.06536866199999736
133
  ]
134
  },
135
  "throughput": {
136
  "unit": "samples/s",
137
- "value": 13.673207283134815
138
  },
139
  "energy": {
140
  "unit": "kWh",
141
- "cpu": 2.5581464171409605e-06,
142
- "ram": 1.0690994119109121e-07,
143
  "gpu": 0.0,
144
- "total": 2.6650563583320517e-06
145
  },
146
  "efficiency": {
147
  "unit": "samples/kWh",
148
- "value": 375226.5864373159
149
  }
150
  }
151
  }
 
79
  "platform": "Linux-6.5.0-1022-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": "2c8ab57de1af767ec2e6a2cf774f52cea6a0db26",
84
  "transformers_version": "4.42.3",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.31.0",
 
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 541.659136,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 14,
111
+ "total": 1.0296434569999917,
112
+ "mean": 0.07354596121428512,
113
+ "stdev": 0.005851684129786144,
114
+ "p50": 0.07621657400000004,
115
+ "p90": 0.07879461260000653,
116
+ "p95": 0.08052057445000002,
117
+ "p99": 0.08232668368998076,
118
  "values": [
119
+ 0.07930492400001299,
120
+ 0.07688800299999343,
121
+ 0.07641865000002213,
122
+ 0.0758075319999989,
123
+ 0.07652667100001054,
124
+ 0.07601449799997795,
125
+ 0.07695431700000199,
126
+ 0.07760388599999146,
127
+ 0.08277821099997595,
128
+ 0.07104573600000208,
129
+ 0.06517347999999856,
130
+ 0.06523107799998229,
131
+ 0.06476941700000793,
132
+ 0.0651270540000155
133
  ]
134
  },
135
  "throughput": {
136
  "unit": "samples/s",
137
+ "value": 13.596939702594655
138
  },
139
  "energy": {
140
  "unit": "kWh",
141
+ "cpu": 2.545011705822415e-06,
142
+ "ram": 1.0636028813841845e-07,
143
  "gpu": 0.0,
144
+ "total": 2.6513719939608336e-06
145
  },
146
  "efficiency": {
147
  "unit": "samples/kWh",
148
+ "value": 377163.2205053653
149
  }
150
  }
151
  }