| User | nimblebits |
| Upload Date | January 12 2026 10:45 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A770 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z790 PG Lightning |
| Motherboard | ASRock Z790 PG Lightning |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5793
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
5840
1.09 KIPS |
|
|
Image Classification (Q)
|
99% |
4685
873.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
8739
141.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14652
237.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7776
126.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
82529
96.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
84757
98.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
67505
79.1 IPS |
|
|
Object Detection (SP)
|
100% |
7244
574.6 IPS |
|
|
Object Detection (HP)
|
99% |
7324
582.6 IPS |
|
|
Object Detection (Q)
|
85% |
5977
480.9 IPS |
|
|
Face Detection (SP)
|
100% |
19737
234.5 IPS |
|
|
Face Detection (HP)
|
100% |
20315
241.4 IPS |
|
|
Face Detection (Q)
|
97% |
15618
186.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
30274
233.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
29431
227.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
23935
191.6 IPS |
|
|
Style Transfer (SP)
|
100% |
178334
229.3 IPS |
|
|
Style Transfer (HP)
|
100% |
168501
216.6 IPS |
|
|
Style Transfer (Q)
|
98% |
135997
175.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17342
640.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24053
888.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12723
471.1 IPS |
|
|
Text Classification (SP)
|
86% |
870
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
671
895.2 IPS |
|
|
Text Classification (Q)
|
84% |
657
892.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2824
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2488
42.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1366
25.6 IPS |