ASRock Z890 Pro RS WiFi White
Geekbench AI Score
8968
Single Precision Score
9183
Half Precision Score
17344
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 11:40 AM |
| Views | 4 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5941
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
6601
1.23 KIPS |
|
|
Image Classification (Q)
|
100% |
10553
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8432
136.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4382
71.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13972
226.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14923
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14074
16.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
32943
38.6 IPS |
|
|
Object Detection (SP)
|
100% |
6288
498.8 IPS |
|
|
Object Detection (HP)
|
100% |
7078
561.4 IPS |
|
|
Object Detection (Q)
|
88% |
11630
932.3 IPS |
|
|
Face Detection (SP)
|
100% |
17105
203.2 IPS |
|
|
Face Detection (HP)
|
100% |
19648
233.5 IPS |
|
|
Face Detection (Q)
|
100% |
32813
389.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15064
116.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15521
119.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
32458
252.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28845
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26344
33.9 IPS |
|
|
Style Transfer (Q)
|
98% |
95590
123.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6035
222.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8572
316.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18217
674.7 IPS |
|
|
Text Classification (SP)
|
100% |
3985
5.32 KIPS |
|
|
Text Classification (HP)
|
100% |
3112
4.15 KIPS |
|
|
Text Classification (Q)
|
92% |
6047
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4009
69.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6907
119.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3888
67.0 IPS |
