ASRock Z890M Riptide WiFi
Geekbench AI Score
33215
Single Precision Score
56918
Half Precision Score
25223
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | December 12 2025 06:02 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| 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% |
13057
2.43 KIPS |
|
|
Image Classification (HP)
|
100% |
20590
3.83 KIPS |
|
|
Image Classification (Q)
|
100% |
11575
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25872
419.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
37381
606.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
22630
368.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
178334
208.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
674166
786.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
160328
187.8 IPS |
|
|
Object Detection (SP)
|
100% |
16827
1.33 KIPS |
|
|
Object Detection (HP)
|
100% |
26150
2.07 KIPS |
|
|
Object Detection (Q)
|
86% |
14299
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
49902
592.9 IPS |
|
|
Face Detection (HP)
|
100% |
71004
843.7 IPS |
|
|
Face Detection (Q)
|
97% |
41466
494.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
84724
652.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
149158
1.15 KIPS |
|
|
Depth Estimation (Q)
|
78% |
64072
511.6 IPS |
|
|
Style Transfer (SP)
|
100% |
315503
405.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1001208
1.29 KIPS |
|
|
Style Transfer (Q)
|
98% |
263529
339.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46058
1.70 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74365
2.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35650
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
3760
5.02 KIPS |
|
|
Text Classification (HP)
|
100% |
4843
6.46 KIPS |
|
|
Text Classification (Q)
|
97% |
2297
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
6980
120.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6887
118.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3028
56.8 IPS |
