ASRock Z890 Riptide WiFi
Geekbench AI Score
7030
Single Precision Score
2710
Half Precision Score
11783
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | neo9922 |
| Upload Date | July 05 2025 08:20 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| 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% |
5604
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
913
169.8 IPS |
|
|
Image Classification (Q)
|
99% |
9298
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2509
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1696
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16508
268.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14866
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8645
10.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
46388
54.4 IPS |
|
|
Object Detection (SP)
|
100% |
5106
405.0 IPS |
|
|
Object Detection (HP)
|
100% |
1185
94.0 IPS |
|
|
Object Detection (Q)
|
86% |
12263
985.6 IPS |
|
|
Face Detection (SP)
|
100% |
14776
175.6 IPS |
|
|
Face Detection (HP)
|
100% |
2613
31.0 IPS |
|
|
Face Detection (Q)
|
97% |
13779
164.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16844
129.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3740
28.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
25182
200.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31836
40.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21330
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
31296
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5250
193.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3883
143.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7344
271.9 IPS |
|
|
Text Classification (SP)
|
100% |
2015
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
1097
1.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1590
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3299
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1518
26.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4660
93.6 IPS |
