Commit
•
575a582
1
Parent(s):
dc12124
Upload cpu_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
Browse files
cpu_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json
CHANGED
@@ -80,7 +80,7 @@
|
|
80 |
"processor": "x86_64",
|
81 |
"python_version": "3.10.15",
|
82 |
"optimum_benchmark_version": "0.4.0",
|
83 |
-
"optimum_benchmark_commit": "
|
84 |
"transformers_version": "4.44.2",
|
85 |
"transformers_commit": null,
|
86 |
"accelerate_version": "0.34.2",
|
@@ -99,7 +99,7 @@
|
|
99 |
"load": {
|
100 |
"memory": {
|
101 |
"unit": "MB",
|
102 |
-
"max_ram": 802.
|
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": 826.
|
136 |
"max_global_vram": null,
|
137 |
"max_process_vram": null,
|
138 |
"max_reserved": null,
|
@@ -141,34 +141,34 @@
|
|
141 |
"latency": {
|
142 |
"unit": "s",
|
143 |
"count": 4,
|
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 |
]
|
157 |
},
|
158 |
"throughput": {
|
159 |
"unit": "samples/s",
|
160 |
-
"value": 3.
|
161 |
},
|
162 |
"energy": {
|
163 |
"unit": "kWh",
|
164 |
-
"cpu": 9.
|
165 |
-
"ram": 3.
|
166 |
"gpu": 0.0,
|
167 |
-
"total": 9.
|
168 |
},
|
169 |
"efficiency": {
|
170 |
"unit": "samples/kWh",
|
171 |
-
"value":
|
172 |
}
|
173 |
}
|
174 |
}
|
|
|
80 |
"processor": "x86_64",
|
81 |
"python_version": "3.10.15",
|
82 |
"optimum_benchmark_version": "0.4.0",
|
83 |
+
"optimum_benchmark_commit": "c321302e3b007186f91357f56a141e530fe6b122",
|
84 |
"transformers_version": "4.44.2",
|
85 |
"transformers_commit": null,
|
86 |
"accelerate_version": "0.34.2",
|
|
|
99 |
"load": {
|
100 |
"memory": {
|
101 |
"unit": "MB",
|
102 |
+
"max_ram": 802.861056,
|
103 |
"max_global_vram": null,
|
104 |
"max_process_vram": null,
|
105 |
"max_reserved": null,
|
|
|
108 |
"latency": {
|
109 |
"unit": "s",
|
110 |
"count": 1,
|
111 |
+
"total": 4.220156227000018,
|
112 |
+
"mean": 4.220156227000018,
|
113 |
"stdev": 0.0,
|
114 |
+
"p50": 4.220156227000018,
|
115 |
+
"p90": 4.220156227000018,
|
116 |
+
"p95": 4.220156227000018,
|
117 |
+
"p99": 4.220156227000018,
|
118 |
"values": [
|
119 |
+
4.220156227000018
|
120 |
]
|
121 |
},
|
122 |
"throughput": null,
|
123 |
"energy": {
|
124 |
"unit": "kWh",
|
125 |
+
"cpu": 4.490207415555574e-05,
|
126 |
+
"ram": 1.8777357286174286e-06,
|
127 |
"gpu": 0,
|
128 |
+
"total": 4.677980988417317e-05
|
129 |
},
|
130 |
"efficiency": null
|
131 |
},
|
132 |
"forward": {
|
133 |
"memory": {
|
134 |
"unit": "MB",
|
135 |
+
"max_ram": 826.318848,
|
136 |
"max_global_vram": null,
|
137 |
"max_process_vram": null,
|
138 |
"max_reserved": null,
|
|
|
141 |
"latency": {
|
142 |
"unit": "s",
|
143 |
"count": 4,
|
144 |
+
"total": 1.0125424870000757,
|
145 |
+
"mean": 0.2531356217500189,
|
146 |
+
"stdev": 0.013713399646195543,
|
147 |
+
"p50": 0.2579149380000274,
|
148 |
+
"p90": 0.2650675282000009,
|
149 |
+
"p95": 0.26508170709999207,
|
150 |
+
"p99": 0.265093050219985,
|
151 |
"values": [
|
152 |
+
0.26500136000004204,
|
153 |
+
0.26509588599998324,
|
154 |
+
0.25082851600001277,
|
155 |
+
0.2316167250000376
|
156 |
]
|
157 |
},
|
158 |
"throughput": {
|
159 |
"unit": "samples/s",
|
160 |
+
"value": 3.950451513250625
|
161 |
},
|
162 |
"energy": {
|
163 |
"unit": "kWh",
|
164 |
+
"cpu": 9.093660698888597e-06,
|
165 |
+
"ram": 3.802688911780447e-07,
|
166 |
"gpu": 0.0,
|
167 |
+
"total": 9.473929590066643e-06
|
168 |
},
|
169 |
"efficiency": {
|
170 |
"unit": "samples/kWh",
|
171 |
+
"value": 105552.8216135883
|
172 |
}
|
173 |
}
|
174 |
}
|