| User | Spiike |
| Upload Date | November 24 2025 08:21 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10429
1.94 KIPS |
|
|
Image Classification (HP)
|
100% |
11043
2.05 KIPS |
|
|
Image Classification (Q)
|
99% |
9358
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12745
206.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13685
221.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16502
268.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
212027
247.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
598837
698.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
192836
225.9 IPS |
|
|
Object Detection (SP)
|
100% |
9384
744.4 IPS |
|
|
Object Detection (HP)
|
99% |
13332
1.06 KIPS |
|
|
Object Detection (Q)
|
87% |
10233
821.8 IPS |
|
|
Face Detection (SP)
|
100% |
39030
463.8 IPS |
|
|
Face Detection (HP)
|
100% |
46019
546.8 IPS |
|
|
Face Detection (Q)
|
97% |
32974
393.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
81074
624.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104265
803.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
70624
566.0 IPS |
|
|
Style Transfer (SP)
|
100% |
375584
482.8 IPS |
|
|
Style Transfer (HP)
|
100% |
512936
659.4 IPS |
|
|
Style Transfer (Q)
|
98% |
327644
422.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42012
1.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50504
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32453
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
2560
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (Q)
|
97% |
1958
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5030
86.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4815
82.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2649
49.7 IPS |