ASRock Z890M Riptide WiFi
Geekbench AI Score
5849
Single Precision Score
9559
Half Precision Score
14485
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | December 12 2025 06:08 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
4042
751.7 IPS |
|
|
Image Classification (HP)
|
100% |
6343
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
8353
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4039
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9079
147.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11654
188.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11965
14.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
11263
13.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
38560
45.1 IPS |
|
|
Object Detection (SP)
|
100% |
3712
294.4 IPS |
|
|
Object Detection (HP)
|
100% |
6058
480.5 IPS |
|
|
Object Detection (Q)
|
88% |
9442
756.6 IPS |
|
|
Face Detection (SP)
|
100% |
8519
101.2 IPS |
|
|
Face Detection (HP)
|
100% |
16908
200.9 IPS |
|
|
Face Detection (Q)
|
100% |
26572
315.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12731
98.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
22627
174.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
26492
205.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30273
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41981
54.0 IPS |
|
|
Style Transfer (Q)
|
98% |
91171
117.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5385
198.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9784
361.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15817
585.8 IPS |
|
|
Text Classification (SP)
|
71% |
1686
2.44 KIPS |
|
|
Text Classification (HP)
|
71% |
2641
3.82 KIPS |
|
|
Text Classification (Q)
|
92% |
2843
3.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2169
37.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3909
67.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3977
68.7 IPS |
