ASRock Z890 Pro RS WiFi White
Geekbench AI Score
9819
Single Precision Score
9538
Half Precision Score
17208
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 17 2025 02:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6293
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
6804
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
10475
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8760
142.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4628
75.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13775
223.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15305
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
14465
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
33787
39.6 IPS |
|
|
Object Detection (SP)
|
100% |
6111
484.8 IPS |
|
|
Object Detection (HP)
|
100% |
7047
559.0 IPS |
|
|
Object Detection (Q)
|
88% |
11722
939.6 IPS |
|
|
Face Detection (SP)
|
100% |
17072
202.8 IPS |
|
|
Face Detection (HP)
|
100% |
20083
238.6 IPS |
|
|
Face Detection (Q)
|
100% |
32733
388.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15466
119.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17019
131.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
33258
258.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42597
54.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32123
41.3 IPS |
|
|
Style Transfer (Q)
|
98% |
93960
121.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8921
329.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8595
317.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18086
669.8 IPS |
|
|
Text Classification (SP)
|
100% |
3995
5.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3078
4.11 KIPS |
|
|
Text Classification (Q)
|
92% |
5986
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
4032
69.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6689
115.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3599
62.0 IPS |
