IlyasMoutawwakil HF staff commited on
Commit
1e01235
1 Parent(s): d0ccc32

Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub

Browse files
cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json CHANGED
@@ -3,7 +3,7 @@
3
  "name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased",
4
  "backend": {
5
  "name": "pytorch",
6
- "version": "2.3.0+cpu",
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "task": "fill-mask",
9
  "library": "transformers",
@@ -73,23 +73,23 @@
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
- "cpu_ram_mb": 16757.354496,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
- "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.1",
83
- "optimum_benchmark_commit": "347e13ca9f7f904f55669603cfb9f0b6c7e8672c",
84
- "transformers_version": "4.41.1",
85
  "transformers_commit": null,
86
- "accelerate_version": "0.30.1",
87
  "accelerate_commit": null,
88
- "diffusers_version": "0.27.2",
89
  "diffusers_commit": null,
90
  "optimum_version": null,
91
  "optimum_commit": null,
92
- "timm_version": "1.0.3",
93
  "timm_commit": null,
94
  "peft_version": null,
95
  "peft_commit": null
@@ -99,7 +99,7 @@
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 864.202752,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -108,53 +108,53 @@
108
  "latency": {
109
  "unit": "s",
110
  "count": 23,
111
- "total": 1.0126072500000873,
112
- "mean": 0.04402640217391684,
113
- "stdev": 0.0026623722453663038,
114
- "p50": 0.04515249600001425,
115
- "p90": 0.04593469099997947,
116
- "p95": 0.04663125889996422,
117
- "p99": 0.04865634443998261,
118
  "values": [
119
- 0.045921754999994846,
120
- 0.045800900999950045,
121
- 0.04470994400003292,
122
- 0.04515249600001425,
123
- 0.04370592000003626,
124
- 0.044565486000010424,
125
- 0.04535422100002506,
126
- 0.04545226299995875,
127
- 0.049205793999988146,
128
- 0.045452242999999726,
129
- 0.0452740620000327,
130
- 0.04475696099996185,
131
- 0.04670829599996296,
132
- 0.04431683400002839,
133
- 0.04523559000000432,
134
- 0.04593792499997562,
135
- 0.04525083099997573,
136
- 0.04064592400004585,
137
- 0.039266061000034824,
138
- 0.038273187000015696,
139
- 0.040263415000026725,
140
- 0.0397411540000121,
141
- 0.04161598700000013
142
  ]
143
  },
144
  "throughput": {
145
  "unit": "samples/s",
146
- "value": 22.71364341900378
147
  },
148
  "energy": {
149
  "unit": "kWh",
150
- "cpu": 1.5807367430792915e-06,
151
- "ram": 6.606087842474151e-08,
152
  "gpu": 0.0,
153
- "total": 1.6467976215040333e-06
154
  },
155
  "efficiency": {
156
  "unit": "samples/kWh",
157
- "value": 607239.1573450854
158
  }
159
  }
160
  }
 
3
  "name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased",
4
  "backend": {
5
  "name": "pytorch",
6
+ "version": "2.3.1+cpu",
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "task": "fill-mask",
9
  "library": "transformers",
 
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-6.5.0-1022-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.1",
83
+ "optimum_benchmark_commit": "d920fe9626db1e7915f6d3574b5b54b0159cd100",
84
+ "transformers_version": "4.42.3",
85
  "transformers_commit": null,
86
+ "accelerate_version": "0.31.0",
87
  "accelerate_commit": null,
88
+ "diffusers_version": "0.29.2",
89
  "diffusers_commit": null,
90
  "optimum_version": null,
91
  "optimum_commit": null,
92
+ "timm_version": "1.0.7",
93
  "timm_commit": null,
94
  "peft_version": null,
95
  "peft_commit": null
 
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 866.074624,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 23,
111
+ "total": 1.0017728420000083,
112
+ "mean": 0.043555340956522096,
113
+ "stdev": 0.0012170361371750655,
114
+ "p50": 0.04332611899999961,
115
+ "p90": 0.04513839140001323,
116
+ "p95": 0.045757747699991566,
117
+ "p99": 0.04588017003999312,
118
  "values": [
119
+ 0.04428972600001657,
120
+ 0.04442292299998485,
121
+ 0.04478499900000088,
122
+ 0.045138698000016575,
123
+ 0.04355295100000944,
124
+ 0.04332611899999961,
125
+ 0.04287261999999714,
126
+ 0.04341458799999032,
127
+ 0.04307031199999756,
128
+ 0.04318337200001565,
129
+ 0.04304384899998581,
130
+ 0.04300117299999329,
131
+ 0.0429399989999979,
132
+ 0.04395906899998181,
133
+ 0.043909726999999066,
134
+ 0.04582653099998879,
135
+ 0.042595921000014414,
136
+ 0.04265172099999859,
137
+ 0.04589529899999434,
138
+ 0.0414474860000098,
139
+ 0.04147533800002634,
140
+ 0.04513716499999987,
141
+ 0.04183325599998966
142
  ]
143
  },
144
  "throughput": {
145
  "unit": "samples/s",
146
+ "value": 22.95929679435232
147
  },
148
  "energy": {
149
  "unit": "kWh",
150
+ "cpu": 1.5983587900797528e-06,
151
+ "ram": 6.679702026262172e-08,
152
  "gpu": 0.0,
153
+ "total": 1.6651558103423747e-06
154
  },
155
  "efficiency": {
156
  "unit": "samples/kWh",
157
+ "value": 600544.4017844725
158
  }
159
  }
160
  }