ASRock Z890 Taichi OCF
Geekbench AI Score
9102
Single Precision Score
3041
Half Precision Score
12961
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | W4RH34D |
| Upload Date | December 06 2025 07:13 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASRock Z890 Taichi OCF |
| Motherboard | ASRock Z890 Taichi OCF |
| Power Plan | Dynamic Boost 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7096
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
936
174.0 IPS |
|
|
Image Classification (Q)
|
99% |
11887
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3816
61.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1774
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16147
262.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19596
22.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9370
10.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
65650
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
6968
552.7 IPS |
|
|
Object Detection (HP)
|
100% |
1376
109.1 IPS |
|
|
Object Detection (Q)
|
86% |
12860
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
20997
249.5 IPS |
|
|
Face Detection (HP)
|
100% |
3141
37.3 IPS |
|
|
Face Detection (Q)
|
97% |
16252
193.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21467
165.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4193
32.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
34888
278.4 IPS |
|
|
Style Transfer (SP)
|
100% |
44286
56.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25614
32.9 IPS |
|
|
Style Transfer (Q)
|
98% |
48587
62.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6766
249.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4369
161.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8911
330.0 IPS |
|
|
Text Classification (SP)
|
100% |
2152
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1194
1.59 KIPS |
|
|
Text Classification (Q)
|
97% |
783
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3635
62.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1798
31.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4296
86.3 IPS |
