Commit
•
25ef20c
1
Parent(s):
910d441
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": "0.4.0",
|
83 |
-
"optimum_benchmark_commit": "
|
84 |
"transformers_version": "4.44.2",
|
85 |
"transformers_commit": null,
|
86 |
"accelerate_version": "0.33.0",
|
@@ -99,7 +99,7 @@
|
|
99 |
"load": {
|
100 |
"memory": {
|
101 |
"unit": "MB",
|
102 |
-
"max_ram":
|
103 |
"max_global_vram": null,
|
104 |
"max_process_vram": null,
|
105 |
"max_reserved": null,
|
@@ -108,31 +108,31 @@
|
|
108 |
"latency": {
|
109 |
"unit": "s",
|
110 |
"count": 1,
|
111 |
-
"total": 4.
|
112 |
-
"mean": 4.
|
113 |
"stdev": 0.0,
|
114 |
-
"p50": 4.
|
115 |
-
"p90": 4.
|
116 |
-
"p95": 4.
|
117 |
-
"p99": 4.
|
118 |
"values": [
|
119 |
-
4.
|
120 |
]
|
121 |
},
|
122 |
"throughput": null,
|
123 |
"energy": {
|
124 |
"unit": "kWh",
|
125 |
-
"cpu": 4.
|
126 |
-
"ram": 1.
|
127 |
"gpu": 0,
|
128 |
-
"total": 4.
|
129 |
},
|
130 |
"efficiency": null
|
131 |
},
|
132 |
"forward": {
|
133 |
"memory": {
|
134 |
"unit": "MB",
|
135 |
-
"max_ram":
|
136 |
"max_global_vram": null,
|
137 |
"max_process_vram": null,
|
138 |
"max_reserved": null,
|
@@ -140,58 +140,57 @@
|
|
140 |
},
|
141 |
"latency": {
|
142 |
"unit": "s",
|
143 |
-
"count":
|
144 |
-
"total": 1.
|
145 |
-
"mean": 0.
|
146 |
-
"stdev": 0.
|
147 |
-
"p50": 0.
|
148 |
-
"p90": 0.
|
149 |
-
"p95": 0.
|
150 |
-
"p99": 0.
|
151 |
"values": [
|
152 |
-
0.
|
153 |
-
0.
|
154 |
-
0.
|
155 |
-
0.
|
156 |
-
0.
|
157 |
-
0.
|
158 |
-
0.
|
159 |
-
0.
|
160 |
-
0.
|
161 |
-
0.
|
162 |
-
0.
|
163 |
-
0.
|
164 |
-
0.
|
165 |
-
0.
|
166 |
-
0.
|
167 |
-
0.
|
168 |
-
0.
|
169 |
-
0.
|
170 |
-
0.
|
171 |
-
0.
|
172 |
-
0.
|
173 |
-
0.
|
174 |
-
0.
|
175 |
-
0.
|
176 |
-
0.
|
177 |
-
0.
|
178 |
-
0.03802798599997459
|
179 |
]
|
180 |
},
|
181 |
"throughput": {
|
182 |
"unit": "samples/s",
|
183 |
-
"value":
|
184 |
},
|
185 |
"energy": {
|
186 |
"unit": "kWh",
|
187 |
-
"cpu": 1.
|
188 |
-
"ram": 6.
|
189 |
"gpu": 0.0,
|
190 |
-
"total": 1.
|
191 |
},
|
192 |
"efficiency": {
|
193 |
"unit": "samples/kWh",
|
194 |
-
"value":
|
195 |
}
|
196 |
}
|
197 |
}
|
|
|
80 |
"processor": "x86_64",
|
81 |
"python_version": "3.10.14",
|
82 |
"optimum_benchmark_version": "0.4.0",
|
83 |
+
"optimum_benchmark_commit": "c40deb04de5a36cb83739e342e41e216fb5a1cf2",
|
84 |
"transformers_version": "4.44.2",
|
85 |
"transformers_commit": null,
|
86 |
"accelerate_version": "0.33.0",
|
|
|
99 |
"load": {
|
100 |
"memory": {
|
101 |
"unit": "MB",
|
102 |
+
"max_ram": 946.020352,
|
103 |
"max_global_vram": null,
|
104 |
"max_process_vram": null,
|
105 |
"max_reserved": null,
|
|
|
108 |
"latency": {
|
109 |
"unit": "s",
|
110 |
"count": 1,
|
111 |
+
"total": 4.3565782690000106,
|
112 |
+
"mean": 4.3565782690000106,
|
113 |
"stdev": 0.0,
|
114 |
+
"p50": 4.3565782690000106,
|
115 |
+
"p90": 4.3565782690000106,
|
116 |
+
"p95": 4.3565782690000106,
|
117 |
+
"p99": 4.3565782690000106,
|
118 |
"values": [
|
119 |
+
4.3565782690000106
|
120 |
]
|
121 |
},
|
122 |
"throughput": null,
|
123 |
"energy": {
|
124 |
"unit": "kWh",
|
125 |
+
"cpu": 4.73636435222223e-05,
|
126 |
+
"ram": 1.9795628328534843e-06,
|
127 |
"gpu": 0,
|
128 |
+
"total": 4.9343206355075787e-05
|
129 |
},
|
130 |
"efficiency": null
|
131 |
},
|
132 |
"forward": {
|
133 |
"memory": {
|
134 |
"unit": "MB",
|
135 |
+
"max_ram": 957.50144,
|
136 |
"max_global_vram": null,
|
137 |
"max_process_vram": null,
|
138 |
"max_reserved": null,
|
|
|
140 |
},
|
141 |
"latency": {
|
142 |
"unit": "s",
|
143 |
+
"count": 26,
|
144 |
+
"total": 1.038967358000093,
|
145 |
+
"mean": 0.03996028300000358,
|
146 |
+
"stdev": 0.000927465218442442,
|
147 |
+
"p50": 0.039719005499989635,
|
148 |
+
"p90": 0.04104814000001511,
|
149 |
+
"p95": 0.042050228749999974,
|
150 |
+
"p99": 0.042679910999993353,
|
151 |
"values": [
|
152 |
+
0.0421476509999934,
|
153 |
+
0.04175796200001969,
|
154 |
+
0.03932314899998346,
|
155 |
+
0.03949670499997637,
|
156 |
+
0.039322857999991356,
|
157 |
+
0.0396019620000061,
|
158 |
+
0.03962235899996358,
|
159 |
+
0.04014334700002564,
|
160 |
+
0.04005867699999044,
|
161 |
+
0.03976485599997659,
|
162 |
+
0.04002366200001006,
|
163 |
+
0.040249785000014526,
|
164 |
+
0.03985218099995791,
|
165 |
+
0.03967315500000268,
|
166 |
+
0.03952122100002953,
|
167 |
+
0.039247841000019434,
|
168 |
+
0.04033831800001053,
|
169 |
+
0.03990954700003613,
|
170 |
+
0.039135106999992786,
|
171 |
+
0.03937884400005487,
|
172 |
+
0.03936195100004625,
|
173 |
+
0.03920080099999268,
|
174 |
+
0.04285733099999334,
|
175 |
+
0.039928714000041055,
|
176 |
+
0.038736439999979666,
|
177 |
+
0.040312933999985034
|
|
|
178 |
]
|
179 |
},
|
180 |
"throughput": {
|
181 |
"unit": "samples/s",
|
182 |
+
"value": 25.024847796996593
|
183 |
},
|
184 |
"energy": {
|
185 |
"unit": "kWh",
|
186 |
+
"cpu": 1.5163740726495887e-06,
|
187 |
+
"ram": 6.337223374258295e-08,
|
188 |
"gpu": 0.0,
|
189 |
+
"total": 1.5797463063921717e-06
|
190 |
},
|
191 |
"efficiency": {
|
192 |
"unit": "samples/kWh",
|
193 |
+
"value": 633013.032506341
|
194 |
}
|
195 |
}
|
196 |
}
|