ASRock Z890 Pro RS WiFi White
Geekbench AI Score
5727
Single Precision Score
9279
Half Precision Score
13994
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 17 2025 02:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
4013
746.3 IPS |
|
|
Image Classification (HP)
|
100% |
6101
1.13 KIPS |
|
|
Image Classification (Q)
|
100% |
8266
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4053
65.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9081
147.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10852
175.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12103
14.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
11290
13.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
38027
44.5 IPS |
|
|
Object Detection (SP)
|
100% |
3616
286.8 IPS |
|
|
Object Detection (HP)
|
100% |
5857
464.6 IPS |
|
|
Object Detection (Q)
|
88% |
9803
785.6 IPS |
|
|
Face Detection (SP)
|
100% |
8214
97.6 IPS |
|
|
Face Detection (HP)
|
100% |
16375
194.6 IPS |
|
|
Face Detection (Q)
|
100% |
26090
310.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12628
97.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
22447
173.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
25526
198.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29614
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41596
53.5 IPS |
|
|
Style Transfer (Q)
|
98% |
89161
115.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5267
194.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9410
347.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14796
548.0 IPS |
|
|
Text Classification (SP)
|
71% |
1591
2.30 KIPS |
|
|
Text Classification (HP)
|
71% |
2425
3.51 KIPS |
|
|
Text Classification (Q)
|
92% |
2633
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2075
35.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3704
64.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3725
64.4 IPS |
