ASRock Z890 Taichi OCF
Geekbench AI Score
48072
Single Precision Score
72727
Half Precision Score
34506
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | CocaCola |
| Upload Date | June 24 2025 10:14 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% |
17799
3.31 KIPS |
|
|
Image Classification (HP)
|
100% |
23187
4.31 KIPS |
|
|
Image Classification (Q)
|
100% |
14479
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
37602
609.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
47989
777.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
33611
546.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
395596
461.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
938850
1.10 KIPS |
|
|
Pose Estimation (Q)
|
96% |
312598
366.2 IPS |
|
|
Object Detection (SP)
|
100% |
24088
1.91 KIPS |
|
|
Object Detection (HP)
|
100% |
31352
2.49 KIPS |
|
|
Object Detection (Q)
|
85% |
19413
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
72570
862.3 IPS |
|
|
Face Detection (HP)
|
100% |
96516
1.15 KIPS |
|
|
Face Detection (Q)
|
97% |
56815
677.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
103335
796.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
193149
1.49 KIPS |
|
|
Depth Estimation (Q)
|
77% |
74649
597.9 IPS |
|
|
Style Transfer (SP)
|
100% |
588564
756.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1694916
2.18 KIPS |
|
|
Style Transfer (Q)
|
98% |
493071
635.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
73961
2.73 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
100305
3.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51960
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
4386
5.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5483
7.32 KIPS |
|
|
Text Classification (Q)
|
97% |
2406
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
7218
124.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7274
125.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3100
58.1 IPS |
