ASRock Z890M Riptide WiFi
Geekbench AI Score
7055
Single Precision Score
4904
Half Precision Score
17405
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | December 12 2025 06:04 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| 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% |
4261
792.5 IPS |
|
|
Image Classification (HP)
|
100% |
3146
585.1 IPS |
|
|
Image Classification (Q)
|
100% |
10605
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5730
92.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2601
42.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13179
213.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8359
9.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
5561
6.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
31782
37.2 IPS |
|
|
Object Detection (SP)
|
100% |
4005
317.7 IPS |
|
|
Object Detection (HP)
|
100% |
3125
247.9 IPS |
|
|
Object Detection (Q)
|
88% |
11630
932.2 IPS |
|
|
Face Detection (SP)
|
100% |
12721
151.2 IPS |
|
|
Face Detection (HP)
|
100% |
9924
117.9 IPS |
|
|
Face Detection (Q)
|
100% |
31161
370.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10594
81.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7796
60.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
31561
245.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24693
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16068
20.7 IPS |
|
|
Style Transfer (Q)
|
98% |
90761
117.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5208
192.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3581
132.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17483
647.4 IPS |
|
|
Text Classification (SP)
|
100% |
4052
5.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2377
3.17 KIPS |
|
|
Text Classification (Q)
|
92% |
5953
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5326
91.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5353
92.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5316
91.6 IPS |
