| Upload Date | January 17 2026 01:39 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z690 Taichi |
| Motherboard | ASRock Z690 Taichi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700KF |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17182
3.20 KIPS |
|
|
Image Classification (HP)
|
100% |
19916
3.70 KIPS |
|
|
Image Classification (Q)
|
99% |
16206
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19484
315.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22791
369.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
24543
399.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
226298
264.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
685561
799.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
203400
238.3 IPS |
|
|
Object Detection (SP)
|
100% |
15680
1.24 KIPS |
|
|
Object Detection (HP)
|
99% |
21362
1.69 KIPS |
|
|
Object Detection (Q)
|
87% |
14713
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
56193
667.7 IPS |
|
|
Face Detection (HP)
|
100% |
61237
727.6 IPS |
|
|
Face Detection (Q)
|
97% |
49931
595.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
89498
689.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
138983
1.07 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73929
592.5 IPS |
|
|
Style Transfer (SP)
|
100% |
413915
532.1 IPS |
|
|
Style Transfer (HP)
|
100% |
737785
948.4 IPS |
|
|
Style Transfer (Q)
|
98% |
369759
476.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54305
2.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84960
3.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45073
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
5007
6.68 KIPS |
|
|
Text Classification (HP)
|
100% |
5620
7.50 KIPS |
|
|
Text Classification (Q)
|
97% |
3547
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
6248
107.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6393
110.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3845
72.1 IPS |