| User | Den66rus |
| Upload Date | September 15 2024 03:38 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13500 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1971
366.6 IPS |
|
|
Image Classification (HP)
|
100% |
151
28.1 IPS |
|
|
Image Classification (Q)
|
99% |
3597
670.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1877
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
273
4.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
2552
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6563
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
4122
4.81 IPS |
|
|
Pose Estimation (Q)
|
95% |
21605
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
2220
176.1 IPS |
|
|
Object Detection (HP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (Q)
|
88% |
1987
159.3 IPS |
|
|
Face Detection (SP)
|
100% |
4117
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
318
3.78 IPS |
|
|
Face Detection (Q)
|
97% |
4348
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7396
57.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
978
7.54 IPS |
|
|
Depth Estimation (Q)
|
76% |
9312
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15635
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10133
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23984
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2822
104.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1936
71.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4107
152.1 IPS |
|
|
Text Classification (SP)
|
100% |
1610
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
685
914.4 IPS |
|
|
Text Classification (Q)
|
97% |
564
755.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1798
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
658
11.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2127
47.4 IPS |