IlyasMoutawwakil HF staff commited on
Commit
b13a01d
1 Parent(s): 63e2ee5

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
@@ -71,14 +71,14 @@
71
  "environment": {
72
  "cpu": " AMD EPYC 7763 64-Core Processor",
73
  "cpu_count": 4,
74
- "cpu_ram_mb": 16757.3504,
75
  "system": "Linux",
76
  "machine": "x86_64",
77
  "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
78
  "processor": "x86_64",
79
  "python_version": "3.10.14",
80
- "optimum_benchmark_version": "0.2.0",
81
- "optimum_benchmark_commit": "14fc8ac8cd252f949be10158bdcefa6a3b7c596a",
82
  "transformers_version": "4.40.2",
83
  "transformers_commit": null,
84
  "accelerate_version": "0.30.1",
@@ -97,7 +97,7 @@
97
  "forward": {
98
  "memory": {
99
  "unit": "MB",
100
- "max_ram": 865.378304,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
@@ -105,55 +105,56 @@
105
  },
106
  "latency": {
107
  "unit": "s",
108
- "count": 24,
109
- "total": 1.00502873500011,
110
- "mean": 0.04187619729167125,
111
- "stdev": 0.0026445118354644884,
112
- "p50": 0.040328650000020616,
113
- "p90": 0.04534691199999088,
114
- "p95": 0.045438637499984225,
115
- "p99": 0.04586166566999395,
116
  "values": [
117
- 0.04048285300001453,
118
- 0.039657753000028606,
119
- 0.04027410300000156,
120
- 0.03958099999999831,
121
- 0.04038319700003967,
122
- 0.040272520000030454,
123
- 0.039706053000031716,
124
- 0.03952301200001784,
125
- 0.03984371999996483,
126
- 0.03944935399999849,
127
- 0.0420153620000292,
128
- 0.04520719699996789,
129
- 0.04450923500002091,
130
- 0.04535653599998568,
131
- 0.04475783899999897,
132
- 0.04530030099999749,
133
- 0.04545312599998397,
134
- 0.04532445600000301,
135
- 0.04598369699999694,
136
- 0.044822189000001345,
137
- 0.03948467999998684,
138
- 0.03879888099999107,
139
- 0.03987119100003156,
140
- 0.03897047999998904
 
141
  ]
142
  },
143
  "throughput": {
144
  "unit": "samples/s",
145
- "value": 23.879914239464384
146
  },
147
  "energy": {
148
  "unit": "kWh",
149
- "cpu": 1.5141624670762283e-06,
150
- "ram": 6.32775318994032e-08,
151
  "gpu": 0.0,
152
- "total": 1.5774399989756314e-06
153
  },
154
  "efficiency": {
155
  "unit": "samples/kWh",
156
- "value": 633938.5337314806
157
  }
158
  }
159
  }
 
71
  "environment": {
72
  "cpu": " AMD EPYC 7763 64-Core Processor",
73
  "cpu_count": 4,
74
+ "cpu_ram_mb": 16757.354496,
75
  "system": "Linux",
76
  "machine": "x86_64",
77
  "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
78
  "processor": "x86_64",
79
  "python_version": "3.10.14",
80
+ "optimum_benchmark_version": "0.2.1",
81
+ "optimum_benchmark_commit": "56d026bf244c6516d8cb780280ce7cc6505f270e",
82
  "transformers_version": "4.40.2",
83
  "transformers_commit": null,
84
  "accelerate_version": "0.30.1",
 
97
  "forward": {
98
  "memory": {
99
  "unit": "MB",
100
+ "max_ram": 865.112064,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
 
105
  },
106
  "latency": {
107
  "unit": "s",
108
+ "count": 25,
109
+ "total": 1.0178087650000123,
110
+ "mean": 0.04071235060000049,
111
+ "stdev": 0.0017824830984192021,
112
+ "p50": 0.04011878399998636,
113
+ "p90": 0.04280081160001146,
114
+ "p95": 0.044003787600013305,
115
+ "p99": 0.04615437883999789,
116
  "values": [
117
+ 0.04074545299999954,
118
+ 0.04066926199999443,
119
+ 0.04048673100001565,
120
+ 0.039640469000005396,
121
+ 0.040115947999993296,
122
+ 0.04011878399998636,
123
+ 0.04047203300001456,
124
+ 0.04010164199999622,
125
+ 0.039349719000000505,
126
+ 0.03981374399998572,
127
+ 0.039561323000015136,
128
+ 0.046755418999993026,
129
+ 0.04248013200000855,
130
+ 0.04116036700000336,
131
+ 0.04012286099998619,
132
+ 0.0399340900000027,
133
+ 0.0395275799999979,
134
+ 0.04193749799998159,
135
+ 0.04123158799998805,
136
+ 0.039358004999996865,
137
+ 0.03932792800000584,
138
+ 0.03924308000000565,
139
+ 0.04301459800001339,
140
+ 0.04425108500001329,
141
+ 0.03838942600000905
142
  ]
143
  },
144
  "throughput": {
145
  "unit": "samples/s",
146
+ "value": 24.562570946222593
147
  },
148
  "energy": {
149
  "unit": "kWh",
150
+ "cpu": 1.5358521388127256e-06,
151
+ "ram": 6.418513801464725e-08,
152
  "gpu": 0.0,
153
+ "total": 1.6000372768273727e-06
154
  },
155
  "efficiency": {
156
  "unit": "samples/kWh",
157
+ "value": 624985.4390785481
158
  }
159
  }
160
  }