ASRock Z890 Riptide WiFi
Geekbench AI Score
6990
Single Precision Score
4943
Half Precision Score
17120
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | neo9922 |
| Upload Date | July 04 2025 09:41 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
4218
784.5 IPS |
|
|
Image Classification (HP)
|
100% |
3216
598.1 IPS |
|
|
Image Classification (Q)
|
100% |
10403
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5647
91.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2638
42.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
12891
209.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8400
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
5554
6.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
32041
37.5 IPS |
|
|
Object Detection (SP)
|
100% |
4124
327.1 IPS |
|
|
Object Detection (HP)
|
100% |
3143
249.3 IPS |
|
|
Object Detection (Q)
|
88% |
11046
885.4 IPS |
|
|
Face Detection (SP)
|
100% |
12036
143.0 IPS |
|
|
Face Detection (HP)
|
100% |
9759
116.0 IPS |
|
|
Face Detection (Q)
|
100% |
30964
367.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10481
80.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7830
60.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
31541
245.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24897
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16440
21.1 IPS |
|
|
Style Transfer (Q)
|
98% |
89734
115.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5190
191.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3612
133.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17033
630.8 IPS |
|
|
Text Classification (SP)
|
100% |
4142
5.53 KIPS |
|
|
Text Classification (HP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (Q)
|
92% |
5896
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4999
86.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5322
91.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5178
89.2 IPS |
