ASRock Z890 Taichi
Geekbench AI Score
41465
Single Precision Score
60808
Half Precision Score
31044
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | mikenicolai |
| Upload Date | March 09 2025 12:00 AM |
| Views | 17 |
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 |
| Motherboard | ASRock Z890 Taichi |
| Power Plan | Balanced |
| 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% |
15992
2.97 KIPS |
|
|
Image Classification (HP)
|
100% |
20431
3.80 KIPS |
|
|
Image Classification (Q)
|
100% |
13173
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26938
436.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
32317
523.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
24916
405.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
370687
432.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
819543
956.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
292372
342.5 IPS |
|
|
Object Detection (SP)
|
100% |
20142
1.60 KIPS |
|
|
Object Detection (HP)
|
100% |
25532
2.03 KIPS |
|
|
Object Detection (Q)
|
85% |
17053
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
58287
692.6 IPS |
|
|
Face Detection (HP)
|
100% |
74505
885.3 IPS |
|
|
Face Detection (Q)
|
97% |
47904
571.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
100763
776.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
180415
1.39 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73194
586.2 IPS |
|
|
Style Transfer (SP)
|
100% |
560595
720.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1522456
1.96 KIPS |
|
|
Style Transfer (Q)
|
98% |
475704
613.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
66149
2.44 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87857
3.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48201
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
3785
5.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4887
6.52 KIPS |
|
|
Text Classification (Q)
|
97% |
2286
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5668
97.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5694
98.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2765
51.9 IPS |
