ASRock Z890 Taichi OCF
Geekbench AI Score
8698
Single Precision Score
3022
Half Precision Score
12427
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | W4RH34D |
| Upload Date | December 04 2025 10:49 PM |
| Views | 7 |
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% |
6706
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
943
175.3 IPS |
|
|
Image Classification (Q)
|
99% |
11016
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3714
60.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
15660
254.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19442
22.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10284
12.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
66495
78.0 IPS |
|
|
Object Detection (SP)
|
100% |
6571
521.2 IPS |
|
|
Object Detection (HP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (Q)
|
86% |
12270
986.1 IPS |
|
|
Face Detection (SP)
|
100% |
19912
236.6 IPS |
|
|
Face Detection (HP)
|
100% |
2877
34.2 IPS |
|
|
Face Detection (Q)
|
97% |
15834
188.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20776
160.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4278
33.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
34457
275.0 IPS |
|
|
Style Transfer (SP)
|
100% |
42985
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25337
32.6 IPS |
|
|
Style Transfer (Q)
|
98% |
43307
55.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6290
232.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3823
141.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8656
320.5 IPS |
|
|
Text Classification (SP)
|
100% |
2081
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1178
1.57 KIPS |
|
|
Text Classification (Q)
|
97% |
764
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3349
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1745
30.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3995
80.3 IPS |
