ASRock Z890M Riptide WiFi
Geekbench AI Score
7027
Single Precision Score
10171
Half Precision Score
15778
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | December 12 2025 06:10 PM |
| Views | 7 |
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 Z890M Riptide WiFi |
| Motherboard | ASRock Z890M Riptide WiFi |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4238
788.1 IPS |
|
|
Image Classification (HP)
|
100% |
7018
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9873
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5664
91.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2822
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3399
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8379
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
33902
39.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
73582
86.2 IPS |
|
|
Object Detection (SP)
|
100% |
3978
315.5 IPS |
|
|
Object Detection (HP)
|
100% |
6111
484.8 IPS |
|
|
Object Detection (Q)
|
88% |
10304
826.1 IPS |
|
|
Face Detection (SP)
|
100% |
12523
148.8 IPS |
|
|
Face Detection (HP)
|
100% |
17603
209.2 IPS |
|
|
Face Detection (Q)
|
100% |
33800
401.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10472
80.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18380
141.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
34731
270.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24833
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
54257
69.7 IPS |
|
|
Style Transfer (Q)
|
98% |
97766
126.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5304
195.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16044
592.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31477
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
4047
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2162
2.89 KIPS |
|
|
Text Classification (Q)
|
92% |
2162
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5249
90.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4745
81.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4812
82.9 IPS |
