| User | BrickOfReality |
| Upload Date | November 02 2025 10:09 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z890 Taichi |
| Motherboard | ASRock Z890 Taichi |
| Power Plan | High performance |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4629
860.9 IPS |
|
|
Image Classification (HP)
|
100% |
675
125.6 IPS |
|
|
Image Classification (Q)
|
99% |
8145
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2509
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1601
26.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
16880
274.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14066
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
7171
8.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
35998
42.2 IPS |
|
|
Object Detection (SP)
|
100% |
4545
360.5 IPS |
|
|
Object Detection (HP)
|
100% |
1135
90.0 IPS |
|
|
Object Detection (Q)
|
86% |
10347
831.5 IPS |
|
|
Face Detection (SP)
|
100% |
14570
173.1 IPS |
|
|
Face Detection (HP)
|
100% |
2040
24.2 IPS |
|
|
Face Detection (Q)
|
97% |
12841
153.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14245
109.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2955
22.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
15411
123.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26805
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
18800
24.2 IPS |
|
|
Style Transfer (Q)
|
98% |
33918
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4033
148.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2688
99.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6218
230.2 IPS |
|
|
Text Classification (SP)
|
100% |
1671
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
973
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1554
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2958
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1229
21.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4102
82.4 IPS |