ASRock Z890 Taichi OCF
Geekbench AI Score
8909
Single Precision Score
3047
Half Precision Score
12683
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | W4RH34D |
| Upload Date | December 13 2025 07:27 PM |
| 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% |
6825
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
1001
186.2 IPS |
|
|
Image Classification (Q)
|
99% |
11531
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3923
63.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1868
30.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15762
256.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
19292
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
10195
11.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
65241
76.5 IPS |
|
|
Object Detection (SP)
|
100% |
6844
542.8 IPS |
|
|
Object Detection (HP)
|
100% |
1387
110.0 IPS |
|
|
Object Detection (Q)
|
86% |
12626
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
20627
245.1 IPS |
|
|
Face Detection (HP)
|
100% |
3004
35.7 IPS |
|
|
Face Detection (Q)
|
97% |
15799
188.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21307
164.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3822
29.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
34850
278.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43056
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25466
32.7 IPS |
|
|
Style Transfer (Q)
|
98% |
47474
61.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6559
242.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4316
159.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8250
305.5 IPS |
|
|
Text Classification (SP)
|
100% |
2093
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1214
1.62 KIPS |
|
|
Text Classification (Q)
|
97% |
745
997.4 IPS |
|
|
Machine Translation (SP)
|
100% |
3431
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1704
29.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4479
90.0 IPS |
