Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
Browse files
cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json
CHANGED
@@ -80,7 +80,7 @@
|
|
80 |
"processor": "x86_64",
|
81 |
"python_version": "3.10.14",
|
82 |
"optimum_benchmark_version": "0.2.0",
|
83 |
-
"optimum_benchmark_commit": "
|
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": 942.
|
103 |
"max_global_vram": null,
|
104 |
"max_process_vram": null,
|
105 |
"max_reserved": null,
|
@@ -108,52 +108,52 @@
|
|
108 |
"latency": {
|
109 |
"unit": "s",
|
110 |
"count": 22,
|
111 |
-
"total": 1.
|
112 |
-
"mean": 0.
|
113 |
-
"stdev": 0.
|
114 |
-
"p50": 0.
|
115 |
-
"p90": 0.
|
116 |
-
"p95": 0.
|
117 |
-
"p99": 0.
|
118 |
"values": [
|
119 |
-
0.
|
120 |
-
0.
|
121 |
-
0.
|
122 |
-
0.
|
123 |
-
0.
|
124 |
-
0.
|
125 |
-
0.
|
126 |
-
0.
|
127 |
-
0.
|
128 |
-
0.
|
129 |
-
0.
|
130 |
-
0.
|
131 |
-
0.
|
132 |
-
0.
|
133 |
-
0.
|
134 |
-
0.
|
135 |
-
0.
|
136 |
-
0.
|
137 |
-
0.
|
138 |
-
0.
|
139 |
-
0.
|
140 |
-
0.
|
141 |
]
|
142 |
},
|
143 |
"throughput": {
|
144 |
"unit": "samples/s",
|
145 |
-
"value": 21.
|
146 |
},
|
147 |
"energy": {
|
148 |
"unit": "kWh",
|
149 |
-
"cpu": 1.
|
150 |
-
"ram": 6.
|
151 |
"gpu": 0.0,
|
152 |
-
"total": 1.
|
153 |
},
|
154 |
"efficiency": {
|
155 |
"unit": "samples/kWh",
|
156 |
-
"value":
|
157 |
}
|
158 |
}
|
159 |
}
|
|
|
80 |
"processor": "x86_64",
|
81 |
"python_version": "3.10.14",
|
82 |
"optimum_benchmark_version": "0.2.0",
|
83 |
+
"optimum_benchmark_commit": "b41c364fc95b27c894c71df85ec2bf4c8adb0e4d",
|
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": 942.497792,
|
103 |
"max_global_vram": null,
|
104 |
"max_process_vram": null,
|
105 |
"max_reserved": null,
|
|
|
108 |
"latency": {
|
109 |
"unit": "s",
|
110 |
"count": 22,
|
111 |
+
"total": 1.0308161320000409,
|
112 |
+
"mean": 0.04685527872727458,
|
113 |
+
"stdev": 0.0010907057149416918,
|
114 |
+
"p50": 0.04704940450001516,
|
115 |
+
"p90": 0.04812063139999338,
|
116 |
+
"p95": 0.04814266629999366,
|
117 |
+
"p99": 0.04880060423998173,
|
118 |
"values": [
|
119 |
+
0.04812950499999147,
|
120 |
+
0.046657762000023695,
|
121 |
+
0.04714928499998905,
|
122 |
+
0.04493485399999031,
|
123 |
+
0.04814335899999378,
|
124 |
+
0.046655428000008214,
|
125 |
+
0.045894365999998854,
|
126 |
+
0.04711844800002041,
|
127 |
+
0.044404659999997875,
|
128 |
+
0.04745119500000783,
|
129 |
+
0.048975314999978536,
|
130 |
+
0.04716366200000266,
|
131 |
+
0.04799852200000032,
|
132 |
+
0.04804076900001064,
|
133 |
+
0.04770334400001275,
|
134 |
+
0.04698036100000991,
|
135 |
+
0.04713560900000857,
|
136 |
+
0.0462630499999932,
|
137 |
+
0.045599869000000126,
|
138 |
+
0.04636048100002199,
|
139 |
+
0.04591160799998306,
|
140 |
+
0.046144679999997607
|
141 |
]
|
142 |
},
|
143 |
"throughput": {
|
144 |
"unit": "samples/s",
|
145 |
+
"value": 21.342312481387445
|
146 |
},
|
147 |
"energy": {
|
148 |
"unit": "kWh",
|
149 |
+
"cpu": 1.5420885167570197e-06,
|
150 |
+
"ram": 6.444655200697779e-08,
|
151 |
"gpu": 0.0,
|
152 |
+
"total": 1.6065350687639974e-06
|
153 |
},
|
154 |
"efficiency": {
|
155 |
"unit": "samples/kWh",
|
156 |
+
"value": 622457.6228948175
|
157 |
}
|
158 |
}
|
159 |
}
|