ASRock Z890 Pro RS WiFi White
Geekbench AI Score
9562
Single Precision Score
10144
Half Precision Score
15554
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 11:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z890 Pro RS WiFi White |
| Motherboard | ASRock Z890 Pro RS WiFi White |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5870
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
7068
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9807
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8579
139.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2921
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3945
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14924
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34749
40.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
75477
88.4 IPS |
|
|
Object Detection (SP)
|
100% |
6017
477.2 IPS |
|
|
Object Detection (HP)
|
100% |
6277
497.9 IPS |
|
|
Object Detection (Q)
|
87% |
10285
825.4 IPS |
|
|
Face Detection (SP)
|
100% |
17445
207.3 IPS |
|
|
Face Detection (HP)
|
100% |
18000
213.9 IPS |
|
|
Face Detection (Q)
|
100% |
33134
393.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15316
118.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19053
146.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
35655
277.4 IPS |
|
|
Style Transfer (SP)
|
100% |
38587
49.6 IPS |
|
|
Style Transfer (HP)
|
100% |
52721
67.8 IPS |
|
|
Style Transfer (Q)
|
98% |
96141
124.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8976
331.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14338
529.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23940
886.6 IPS |
|
|
Text Classification (SP)
|
100% |
4064
5.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2147
2.87 KIPS |
|
|
Text Classification (Q)
|
92% |
2157
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3759
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4607
79.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4707
81.1 IPS |
