ASRock Z890 Taichi AQUA
Geekbench AI Score
39368
Single Precision Score
56045
Half Precision Score
30223
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Rate |
| Upload Date | April 05 2025 03:59 PM |
| 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 AQUA |
| Motherboard | ASRock Z890 Taichi AQUA |
| 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 | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14169
2.63 KIPS |
|
|
Image Classification (HP)
|
100% |
17408
3.24 KIPS |
|
|
Image Classification (Q)
|
100% |
12107
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28715
465.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
34823
564.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
26688
434.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
368411
429.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
781005
911.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
293173
343.4 IPS |
|
|
Object Detection (SP)
|
100% |
18090
1.43 KIPS |
|
|
Object Detection (HP)
|
100% |
22932
1.82 KIPS |
|
|
Object Detection (Q)
|
85% |
15644
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
54892
652.2 IPS |
|
|
Face Detection (HP)
|
100% |
68057
808.7 IPS |
|
|
Face Detection (Q)
|
97% |
47488
566.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
97937
754.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
166181
1.28 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71753
574.7 IPS |
|
|
Style Transfer (SP)
|
100% |
538376
692.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1329401
1.71 KIPS |
|
|
Style Transfer (Q)
|
98% |
460179
593.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58592
2.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77997
2.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44805
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3456
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4152
5.54 KIPS |
|
|
Text Classification (Q)
|
97% |
2194
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5628
97.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5784
99.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2784
52.2 IPS |
