IlyasMoutawwakil HF staff commited on
Commit
616aaa1
1 Parent(s): 7598e00

Upload cpu_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub

Browse files
cpu_inference_transformers_token-classification_microsoft/deberta-v3-base/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": "981a175fb902b38f467bd5d3b5d7163a6e2a2a5e",
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": 1177.096192,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
@@ -106,37 +106,37 @@
106
  "latency": {
107
  "unit": "s",
108
  "count": 7,
109
- "total": 1.0978387179999345,
110
- "mean": 0.15683410257141922,
111
- "stdev": 0.002275198333918215,
112
- "p50": 0.15630195100004585,
113
- "p90": 0.1593934851999393,
114
- "p95": 0.1605969765999248,
115
- "p99": 0.1615597697199132,
116
  "values": [
117
- 0.15550328899996657,
118
- 0.15630195100004585,
119
- 0.15531972400003724,
120
- 0.15680248600006053,
121
- 0.15778882999995858,
122
- 0.1543219699999554,
123
- 0.16180046799991032
124
  ]
125
  },
126
  "throughput": {
127
  "unit": "samples/s",
128
- "value": 6.3761642627732655
129
  },
130
  "energy": {
131
  "unit": "kWh",
132
- "cpu": 5.557840400271946e-06,
133
- "ram": 2.322714575105541e-07,
134
  "gpu": 0.0,
135
- "total": 5.790111857782501e-06
136
  },
137
  "efficiency": {
138
  "unit": "samples/kWh",
139
- "value": 172708.2351018656
140
  }
141
  }
142
  }
 
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": "791c6e35de952695e40c34df217c20ec4e890c8e",
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": 1177.25184,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
 
106
  "latency": {
107
  "unit": "s",
108
  "count": 7,
109
+ "total": 1.0643317009999578,
110
+ "mean": 0.1520473858571368,
111
+ "stdev": 0.0058138400293784595,
112
+ "p50": 0.15230876099997204,
113
+ "p90": 0.15824642419997872,
114
+ "p95": 0.15828469459997335,
115
+ "p99": 0.1583153109199691,
116
  "values": [
117
+ 0.15290366100003894,
118
+ 0.15133171799999445,
119
+ 0.15230876099997204,
120
+ 0.15819539699998586,
121
+ 0.15179344900002434,
122
+ 0.158322964999968,
123
+ 0.13947574999997414
124
  ]
125
  },
126
  "throughput": {
127
  "unit": "samples/s",
128
+ "value": 6.576897026954455
129
  },
130
  "energy": {
131
  "unit": "kWh",
132
+ "cpu": 5.424263742234973e-06,
133
+ "ram": 2.2669404227841028e-07,
134
  "gpu": 0.0,
135
+ "total": 5.650957784513383e-06
136
  },
137
  "efficiency": {
138
  "unit": "samples/kWh",
139
+ "value": 176961.15209717714
140
  }
141
  }
142
  }