Commit
•
b79ea5b
1
Parent(s):
0a6e10e
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": "3.10.14",
|
82 |
"optimum_benchmark_version": "0.3.1",
|
83 |
-
"optimum_benchmark_commit": "
|
84 |
"transformers_version": "4.43.3",
|
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,
|
@@ -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":
|
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": "3.10.14",
|
82 |
"optimum_benchmark_version": "0.3.1",
|
83 |
+
"optimum_benchmark_commit": "aa06eb5e1bf688ecb03b7568e9e816d4af962b61",
|
84 |
"transformers_version": "4.43.3",
|
85 |
"transformers_commit": null,
|
86 |
"accelerate_version": "0.33.0",
|
|
|
99 |
"load": {
|
100 |
"memory": {
|
101 |
"unit": "MB",
|
102 |
+
"max_ram": 814.40768,
|
103 |
"max_global_vram": null,
|
104 |
"max_process_vram": null,
|
105 |
"max_reserved": null,
|
|
|
108 |
"latency": {
|
109 |
"unit": "s",
|
110 |
"count": 1,
|
111 |
+
"total": 4.42348070099996,
|
112 |
+
"mean": 4.42348070099996,
|
113 |
"stdev": 0.0,
|
114 |
+
"p50": 4.42348070099996,
|
115 |
+
"p90": 4.42348070099996,
|
116 |
+
"p95": 4.42348070099996,
|
117 |
+
"p99": 4.42348070099996,
|
118 |
"values": [
|
119 |
+
4.42348070099996
|
120 |
]
|
121 |
},
|
122 |
"throughput": null,
|
123 |
"energy": {
|
124 |
"unit": "kWh",
|
125 |
+
"cpu": 4.578259918424819e-05,
|
126 |
+
"ram": 1.913476722120322e-06,
|
127 |
"gpu": 0,
|
128 |
+
"total": 4.769607590636851e-05
|
129 |
},
|
130 |
"efficiency": null
|
131 |
},
|
132 |
"forward": {
|
133 |
"memory": {
|
134 |
"unit": "MB",
|
135 |
+
"max_ram": 830.390272,
|
136 |
"max_global_vram": null,
|
137 |
"max_process_vram": null,
|
138 |
"max_reserved": null,
|
|
|
141 |
"latency": {
|
142 |
"unit": "s",
|
143 |
"count": 4,
|
144 |
+
"total": 1.0007076990000314,
|
145 |
+
"mean": 0.25017692475000786,
|
146 |
+
"stdev": 0.012120992983196124,
|
147 |
+
"p50": 0.2548671254999988,
|
148 |
+
"p90": 0.26028879220000933,
|
149 |
+
"p95": 0.2604048001000166,
|
150 |
+
"p99": 0.2604976064200224,
|
151 |
"values": [
|
152 |
+
0.25974742199997536,
|
153 |
+
0.26052080800002386,
|
154 |
+
0.24998682900002223,
|
155 |
+
0.23045264000000998
|
156 |
]
|
157 |
},
|
158 |
"throughput": {
|
159 |
"unit": "samples/s",
|
160 |
+
"value": 3.9971712059346056
|
161 |
},
|
162 |
"energy": {
|
163 |
"unit": "kWh",
|
164 |
+
"cpu": 8.998240364922418e-06,
|
165 |
+
"ram": 3.7606543850802154e-07,
|
166 |
"gpu": 0.0,
|
167 |
+
"total": 9.37430580343044e-06
|
168 |
},
|
169 |
"efficiency": {
|
170 |
"unit": "samples/kWh",
|
171 |
+
"value": 106674.56566587141
|
172 |
}
|
173 |
}
|
174 |
}
|