| User | gethen |
| Upload Date | April 10 2026 01:13 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Pro B60 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11083
2.06 KIPS |
|
|
Image Classification (HP)
|
100% |
14494
2.70 KIPS |
|
|
Image Classification (Q)
|
100% |
7886
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18658
302.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
25580
414.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12805
208.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
47104
55.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
212535
248.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
39615
46.4 IPS |
|
|
Object Detection (SP)
|
100% |
13357
1.06 KIPS |
|
|
Object Detection (HP)
|
100% |
18322
1.45 KIPS |
|
|
Object Detection (Q)
|
87% |
9745
782.2 IPS |
|
|
Face Detection (SP)
|
100% |
32480
385.9 IPS |
|
|
Face Detection (HP)
|
100% |
45679
542.8 IPS |
|
|
Face Detection (Q)
|
97% |
20039
238.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
57967
446.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
90876
700.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
31643
253.6 IPS |
|
|
Style Transfer (SP)
|
100% |
170247
218.9 IPS |
|
|
Style Transfer (HP)
|
100% |
492622
633.3 IPS |
|
|
Style Transfer (Q)
|
98% |
112823
145.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27588
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54306
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14084
521.5 IPS |
|
|
Text Classification (SP)
|
100% |
3229
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
3817
5.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1700
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2262
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2312
39.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1403
26.3 IPS |