ASRock Z890 Riptide WiFi
Geekbench AI Score
4867
Single Precision Score
6827
Half Precision Score
3278
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | neo9922 |
| Upload Date | July 05 2025 08:01 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASRock Z890 Riptide WiFi |
| Motherboard | ASRock Z890 Riptide WiFi |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2788
518.4 IPS |
|
|
Image Classification (HP)
|
100% |
3976
739.3 IPS |
|
|
Image Classification (Q)
|
99% |
2013
375.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3400
55.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5616
91.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2304
37.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9818
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15875
18.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
8728
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
2987
237.0 IPS |
|
|
Object Detection (HP)
|
100% |
4709
373.5 IPS |
|
|
Object Detection (Q)
|
86% |
2267
182.2 IPS |
|
|
Face Detection (SP)
|
100% |
5889
70.0 IPS |
|
|
Face Detection (HP)
|
100% |
9589
113.9 IPS |
|
|
Face Detection (Q)
|
97% |
3855
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10279
79.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16084
124.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
7329
58.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27642
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
42744
54.9 IPS |
|
|
Style Transfer (Q)
|
98% |
21101
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5068
187.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7622
281.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3384
125.3 IPS |
|
|
Text Classification (SP)
|
100% |
1273
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
980
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
737
987.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2490
42.9 IPS |
|
|
Machine Translation (HP)
|
96% |
2679
46.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1052
19.7 IPS |
