| User | 5hGaBHE7 |
| Upload Date | April 22 2025 09:35 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B860-PLUS WIFI |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.69 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16322
3.04 KIPS |
|
|
Image Classification (HP)
|
100% |
23275
4.33 KIPS |
|
|
Image Classification (Q)
|
100% |
14009
2.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29558
479.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
40185
651.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
26107
424.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
263220
307.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
799705
933.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
228182
267.3 IPS |
|
|
Object Detection (SP)
|
100% |
20638
1.64 KIPS |
|
|
Object Detection (HP)
|
100% |
30339
2.41 KIPS |
|
|
Object Detection (Q)
|
86% |
17699
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
60263
716.1 IPS |
|
|
Face Detection (HP)
|
100% |
84918
1.01 KIPS |
|
|
Face Detection (Q)
|
97% |
49046
584.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
102721
791.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
192202
1.48 KIPS |
|
|
Depth Estimation (Q)
|
78% |
75088
599.6 IPS |
|
|
Style Transfer (SP)
|
100% |
396355
509.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1245276
1.60 KIPS |
|
|
Style Transfer (Q)
|
98% |
343661
443.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
62325
2.30 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
93622
3.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46807
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
4318
5.76 KIPS |
|
|
Text Classification (HP)
|
100% |
5331
7.12 KIPS |
|
|
Text Classification (Q)
|
97% |
2652
3.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
7288
125.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7341
126.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3223
60.4 IPS |