IlyasMoutawwakil HF staff commited on
Commit
36eddb7
·
verified ·
1 Parent(s): cb1cf80

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
@@ -73,14 +73,14 @@
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
- "cpu_ram_mb": 16757.346304,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.0",
83
- "optimum_benchmark_commit": "e5cc8d8069420e159473795b6d1ea703cadf2a8b",
84
  "transformers_version": "4.40.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.30.1",
@@ -99,7 +99,7 @@
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 867.26656,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -107,56 +107,53 @@
107
  },
108
  "latency": {
109
  "unit": "s",
110
- "count": 25,
111
- "total": 1.0151738239999872,
112
- "mean": 0.04060695295999949,
113
- "stdev": 0.0006243916764696498,
114
- "p50": 0.040493309999988014,
115
- "p90": 0.04131094680002434,
116
- "p95": 0.04199625679999599,
117
- "p99": 0.04215172152001742,
118
  "values": [
119
- 0.04099173200000905,
120
- 0.04087091700000656,
121
- 0.04057230800003708,
122
- 0.04028378900000007,
123
- 0.040439789999993536,
124
- 0.04026257799995392,
125
- 0.040183239999976195,
126
- 0.04035043300001462,
127
- 0.040493309999988014,
128
- 0.039709884999979295,
129
- 0.040925798999978724,
130
- 0.041516904000047816,
131
- 0.04086285100004261,
132
- 0.04041275999998106,
133
- 0.0405375020000065,
134
- 0.04031693000001724,
135
- 0.03993907399996033,
136
- 0.04034416100000726,
137
- 0.04091987800001107,
138
- 0.041002010999989125,
139
- 0.040494100999978855,
140
- 0.03953028900002664,
141
- 0.03993451499997036,
142
- 0.042116094999983034,
143
- 0.042162972000028276
144
  ]
145
  },
146
  "throughput": {
147
  "unit": "samples/s",
148
- "value": 24.626324486475642
149
  },
150
  "energy": {
151
  "unit": "kWh",
152
- "cpu": 1.5426473230378244e-06,
153
- "ram": 6.446840620427725e-08,
154
  "gpu": 0.0,
155
- "total": 1.6071157292421015e-06
156
  },
157
  "efficiency": {
158
  "unit": "samples/kWh",
159
- "value": 622232.725250962
160
  }
161
  }
162
  }
 
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-6.5.0-1018-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.0",
83
+ "optimum_benchmark_commit": "6d219cab8dced45685ef7bd31a9c5490c58b944d",
84
  "transformers_version": "4.40.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.30.1",
 
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 867.36896,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
107
  },
108
  "latency": {
109
  "unit": "s",
110
+ "count": 22,
111
+ "total": 1.014804932999965,
112
+ "mean": 0.04612749695454387,
113
+ "stdev": 0.0008726789794111012,
114
+ "p50": 0.04614959900000315,
115
+ "p90": 0.04716974580001363,
116
+ "p95": 0.047174283649991364,
117
+ "p99": 0.04742093188998183,
118
  "values": [
119
+ 0.04624250199998414,
120
+ 0.04611378199999194,
121
+ 0.04666466799997693,
122
+ 0.04469856600002231,
123
+ 0.04748644999997964,
124
+ 0.04608149200001321,
125
+ 0.0458274490000008,
126
+ 0.047174458999990065,
127
+ 0.044614989999985255,
128
+ 0.04559968399999548,
129
+ 0.046956190999992486,
130
+ 0.045624149999980546,
131
+ 0.04618541600001436,
132
+ 0.04504095300001154,
133
+ 0.047170952000016086,
134
+ 0.04467948999999294,
135
+ 0.046421445999982325,
136
+ 0.046884497999997166,
137
+ 0.046085620000013705,
138
+ 0.04510807900001623,
139
+ 0.04698520600001643,
140
+ 0.047158889999991516
 
 
 
141
  ]
142
  },
143
  "throughput": {
144
  "unit": "samples/s",
145
+ "value": 21.679043217659206
146
  },
147
  "energy": {
148
  "unit": "kWh",
149
+ "cpu": 1.5657456715901694e-06,
150
+ "ram": 6.543386213597841e-08,
151
  "gpu": 0.0,
152
+ "total": 1.631179533726148e-06
153
  },
154
  "efficiency": {
155
  "unit": "samples/kWh",
156
+ "value": 613053.3024256825
157
  }
158
  }
159
  }