| User | theofficialgman |
| Upload Date | February 28 2026 04:52 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B48 |
| Motherboard | Micro-Star International Co., Ltd. Z370-A PRO (MS-7B48) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8600K |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10433
1.94 KIPS |
|
|
Image Classification (HP)
|
100% |
12721
2.37 KIPS |
|
|
Image Classification (Q)
|
100% |
10011
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9718
157.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
11510
186.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
12387
201.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
125494
146.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
387406
452.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
111390
130.5 IPS |
|
|
Object Detection (SP)
|
100% |
9336
740.6 IPS |
|
|
Object Detection (HP)
|
99% |
13089
1.04 KIPS |
|
|
Object Detection (Q)
|
87% |
8847
710.5 IPS |
|
|
Face Detection (SP)
|
100% |
26488
314.7 IPS |
|
|
Face Detection (HP)
|
100% |
35449
421.2 IPS |
|
|
Face Detection (Q)
|
97% |
23786
283.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
62995
485.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
89088
686.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
52651
422.2 IPS |
|
|
Style Transfer (SP)
|
100% |
227500
292.5 IPS |
|
|
Style Transfer (HP)
|
100% |
431710
555.0 IPS |
|
|
Style Transfer (Q)
|
98% |
195984
252.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35376
1.31 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61054
2.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30113
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3681
4.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3848
5.14 KIPS |
|
|
Text Classification (Q)
|
97% |
2743
3.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4334
74.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4450
76.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2734
51.3 IPS |