ASRock Z890M Riptide WiFi
Geekbench AI Score
7173
Single Precision Score
2650
Half Precision Score
12165
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | December 12 2025 05:58 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
5804
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
733
136.3 IPS |
|
|
Image Classification (Q)
|
99% |
10139
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2562
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1668
27.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
16813
273.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14893
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8647
10.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
48237
56.6 IPS |
|
|
Object Detection (SP)
|
100% |
5414
429.4 IPS |
|
|
Object Detection (HP)
|
100% |
1197
95.0 IPS |
|
|
Object Detection (Q)
|
86% |
12250
984.5 IPS |
|
|
Face Detection (SP)
|
100% |
15836
188.2 IPS |
|
|
Face Detection (HP)
|
100% |
2614
31.1 IPS |
|
|
Face Detection (Q)
|
97% |
13708
163.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16255
125.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3707
28.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
25832
206.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33843
43.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21676
27.9 IPS |
|
|
Style Transfer (Q)
|
98% |
36060
46.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5434
200.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3879
143.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7124
263.8 IPS |
|
|
Text Classification (SP)
|
100% |
1947
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1078
1.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1684
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3265
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1541
26.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4603
92.5 IPS |
