| User | AndRusha |
| Upload Date | August 20 2024 05:22 PM |
| Views | 26 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS XTREME |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS XTREME |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2970
552.3 IPS |
|
|
Image Classification (HP)
|
100% |
173
32.1 IPS |
|
|
Image Classification (Q)
|
99% |
4797
894.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2688
43.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
317
5.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
3715
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13011
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
5179
6.04 IPS |
|
|
Pose Estimation (Q)
|
95% |
38389
45.0 IPS |
|
|
Object Detection (SP)
|
100% |
3149
249.8 IPS |
|
|
Object Detection (HP)
|
100% |
248
19.7 IPS |
|
|
Object Detection (Q)
|
88% |
2850
228.5 IPS |
|
|
Face Detection (SP)
|
100% |
6458
76.7 IPS |
|
|
Face Detection (HP)
|
100% |
399
4.74 IPS |
|
|
Face Detection (Q)
|
97% |
6504
77.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12029
92.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1145
8.82 IPS |
|
|
Depth Estimation (Q)
|
76% |
13102
105.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28497
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13111
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
35953
46.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4598
169.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2558
94.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6339
234.7 IPS |
|
|
Text Classification (SP)
|
100% |
2056
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
875
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
657
880.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2852
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
877
15.1 IPS |
|
|
Machine Translation (Q)
|
60% |
3066
68.4 IPS |