| Upload Date | October 25 2025 05:18 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | CyberPowerPC GamingPC |
| Motherboard | ASUSTeK COMPUTER INC. Z890 MAX GAMING WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13292
2.47 KIPS |
|
|
Image Classification (HP)
|
100% |
19622
3.65 KIPS |
|
|
Image Classification (Q)
|
100% |
11637
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27023
438.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
38702
627.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
23912
388.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
220965
257.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
678500
791.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
186645
218.6 IPS |
|
|
Object Detection (SP)
|
100% |
17403
1.38 KIPS |
|
|
Object Detection (HP)
|
100% |
26057
2.07 KIPS |
|
|
Object Detection (Q)
|
86% |
14955
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
53837
639.7 IPS |
|
|
Face Detection (HP)
|
100% |
79864
949.0 IPS |
|
|
Face Detection (Q)
|
97% |
44394
529.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
84987
654.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
161079
1.24 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62996
503.1 IPS |
|
|
Style Transfer (SP)
|
100% |
331428
426.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1079186
1.39 KIPS |
|
|
Style Transfer (Q)
|
98% |
283469
365.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51403
1.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80752
2.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37917
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
3684
4.92 KIPS |
|
|
Text Classification (HP)
|
100% |
4788
6.39 KIPS |
|
|
Text Classification (Q)
|
97% |
2198
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
6675
115.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6709
115.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2988
56.0 IPS |