ASRock Z890 Taichi OCF
Geekbench AI Score
8056
Single Precision Score
2729
Half Precision Score
11594
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jordan_OC |
| Upload Date | April 30 2025 02:57 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASRock Z890 Taichi OCF |
| Motherboard | ASRock Z890 Taichi OCF |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
6198
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
900
167.5 IPS |
|
|
Image Classification (Q)
|
99% |
10574
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3026
49.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1690
27.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4779
77.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17959
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9399
11.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
60887
71.4 IPS |
|
|
Object Detection (SP)
|
100% |
5949
471.9 IPS |
|
|
Object Detection (HP)
|
100% |
1194
94.7 IPS |
|
|
Object Detection (Q)
|
86% |
12991
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
16661
198.0 IPS |
|
|
Face Detection (HP)
|
100% |
2949
35.0 IPS |
|
|
Face Detection (Q)
|
97% |
14583
173.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19597
151.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3883
29.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
29855
238.2 IPS |
|
|
Style Transfer (SP)
|
100% |
40874
52.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23779
30.6 IPS |
|
|
Style Transfer (Q)
|
98% |
39057
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6124
226.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3826
141.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7343
271.9 IPS |
|
|
Text Classification (SP)
|
100% |
2112
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1099
1.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1874
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3330
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1173
20.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4693
94.3 IPS |
