IlyasMoutawwakil HF staff commited on
Commit
8b5c43f
·
verified ·
1 Parent(s): 8d12af6

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": 16757.354496,
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": "0.2.0",
81
- "optimum_benchmark_commit": "6351381d30af027b495f2efc26253328f9283823",
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": 864.9728,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
@@ -105,56 +105,53 @@
105
  },
106
  "latency": {
107
  "unit": "s",
108
- "count": 25,
109
- "total": 1.0342756789999612,
110
- "mean": 0.04137102715999845,
111
- "stdev": 0.0009678963546023666,
112
- "p50": 0.04110832099999584,
113
- "p90": 0.041768273200000296,
114
- "p95": 0.04345553519999611,
115
- "p99": 0.04469283076000693,
116
  "values": [
117
- 0.04134506200000487,
118
- 0.04117513599999256,
119
- 0.04128116400002568,
120
- 0.04075133700001743,
121
- 0.04079144099998189,
122
- 0.040846232999996346,
123
- 0.04075596399999881,
124
- 0.04140149799999904,
125
- 0.04084395900000004,
126
- 0.041681971000002704,
127
- 0.04110034599997903,
128
- 0.040896205999985114,
129
- 0.04106890799999974,
130
- 0.04182580799999869,
131
- 0.04110832099999584,
132
- 0.04097927000000823,
133
- 0.04061083399997756,
134
- 0.040795077000012725,
135
- 0.04495489300001054,
136
- 0.04142766699999356,
137
- 0.041237431999974206,
138
- 0.041513576999989255,
139
- 0.040490691000002244,
140
- 0.04152991700001962,
141
- 0.04386296699999548
142
  ]
143
  },
144
  "throughput": {
145
  "unit": "samples/s",
146
- "value": 24.171505245267337
147
  },
148
  "energy": {
149
  "unit": "kWh",
150
- "cpu": 1.5756238831414119e-06,
151
- "ram": 6.584666425327441e-08,
152
  "gpu": 0.0,
153
- "total": 1.641470547394686e-06
154
  },
155
  "efficiency": {
156
  "unit": "samples/kWh",
157
- "value": 609209.8341862928
158
  }
159
  }
160
  }
 
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": "90aae7d9a74aeabd69ab3338806fa9a29ef64627",
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": 864.546816,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
 
105
  },
106
  "latency": {
107
  "unit": "s",
108
+ "count": 22,
109
+ "total": 1.0203873840000028,
110
+ "mean": 0.046381244727272855,
111
+ "stdev": 0.0008555539210560791,
112
+ "p50": 0.04663116650002053,
113
+ "p90": 0.04720838560003813,
114
+ "p95": 0.047333335549970455,
115
+ "p99": 0.04736738074998471,
116
  "values": [
117
+ 0.04721070100003999,
118
+ 0.046094222000022,
119
+ 0.047105573999999706,
120
+ 0.04472381199997244,
121
+ 0.04572154900000669,
122
+ 0.046751125000014326,
123
+ 0.04611470099996495,
124
+ 0.04629614800001036,
125
+ 0.046650498000019525,
126
+ 0.044296857000006185,
127
+ 0.04661183500002153,
128
+ 0.04643384500002412,
129
+ 0.04613299499999357,
130
+ 0.046889011000018854,
131
+ 0.04531233699998438,
132
+ 0.04702686799998901,
133
+ 0.04508962300002395,
134
+ 0.0473397899999668,
135
+ 0.04715250199996035,
136
+ 0.047374714999989465,
137
+ 0.04687112899995327,
138
+ 0.04718754700002137
 
 
 
139
  ]
140
  },
141
  "throughput": {
142
  "unit": "samples/s",
143
+ "value": 21.560439049881413
144
  },
145
  "energy": {
146
  "unit": "kWh",
147
+ "cpu": 1.5760314729478625e-06,
148
+ "ram": 6.586337661133258e-08,
149
  "gpu": 0.0,
150
+ "total": 1.6418948495591952e-06
151
  },
152
  "efficiency": {
153
  "unit": "samples/kWh",
154
+ "value": 609052.4008090246
155
  }
156
  }
157
  }