ASRock Z890 Taichi OCF
Geekbench AI Score
48510
Single Precision Score
74033
Half Precision Score
35090
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | CocaCola |
| Upload Date | July 03 2025 10:14 AM |
| Views | 12 |
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% |
17782
3.31 KIPS |
|
|
Image Classification (HP)
|
100% |
23087
4.29 KIPS |
|
|
Image Classification (Q)
|
100% |
14949
2.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
38075
617.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
49457
801.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
34715
564.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
395485
461.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
947005
1.10 KIPS |
|
|
Pose Estimation (Q)
|
96% |
319206
373.9 IPS |
|
|
Object Detection (SP)
|
100% |
24825
1.97 KIPS |
|
|
Object Detection (HP)
|
100% |
32972
2.62 KIPS |
|
|
Object Detection (Q)
|
85% |
20215
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
75434
896.3 IPS |
|
|
Face Detection (HP)
|
100% |
102067
1.21 KIPS |
|
|
Face Detection (Q)
|
97% |
57664
687.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
104936
808.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
192091
1.48 KIPS |
|
|
Depth Estimation (Q)
|
77% |
74621
597.7 IPS |
|
|
Style Transfer (SP)
|
100% |
579669
745.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1702707
2.19 KIPS |
|
|
Style Transfer (Q)
|
98% |
490188
632.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
71519
2.64 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
98174
3.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51486
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
4453
5.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5528
7.38 KIPS |
|
|
Text Classification (Q)
|
97% |
2399
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
7429
128.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7658
131.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3245
60.9 IPS |
