ASRock Z890 Taichi OCF
Geekbench AI Score
49030
Single Precision Score
74951
Half Precision Score
35447
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | CocaCola |
| Upload Date | July 01 2025 09:42 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18679
3.47 KIPS |
|
|
Image Classification (HP)
|
100% |
24626
4.58 KIPS |
|
|
Image Classification (Q)
|
100% |
15105
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
38070
617.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
49403
800.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
34286
557.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
396866
463.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
934663
1.09 KIPS |
|
|
Pose Estimation (Q)
|
96% |
319732
374.5 IPS |
|
|
Object Detection (SP)
|
100% |
24966
1.98 KIPS |
|
|
Object Detection (HP)
|
100% |
33585
2.66 KIPS |
|
|
Object Detection (Q)
|
85% |
20310
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
75303
894.8 IPS |
|
|
Face Detection (HP)
|
100% |
101589
1.21 KIPS |
|
|
Face Detection (Q)
|
97% |
58659
699.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
105597
813.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
194631
1.50 KIPS |
|
|
Depth Estimation (Q)
|
77% |
74122
593.7 IPS |
|
|
Style Transfer (SP)
|
100% |
584377
751.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1716496
2.21 KIPS |
|
|
Style Transfer (Q)
|
98% |
489294
630.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
71971
2.66 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
103269
3.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51946
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
4546
6.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5594
7.47 KIPS |
|
|
Text Classification (Q)
|
97% |
2598
3.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
7496
129.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7472
128.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3244
60.8 IPS |
