ASRock Z890 Riptide WiFi
Geekbench AI Score
6683
Single Precision Score
10287
Half Precision Score
16154
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | neo9922 |
| Upload Date | July 04 2025 09:35 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
2775
516.1 IPS |
|
|
Image Classification (HP)
|
100% |
7379
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
10449
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5695
92.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2831
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3533
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8362
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
34625
40.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
76434
89.5 IPS |
|
|
Object Detection (SP)
|
100% |
3900
309.3 IPS |
|
|
Object Detection (HP)
|
100% |
6213
492.9 IPS |
|
|
Object Detection (Q)
|
88% |
10558
846.5 IPS |
|
|
Face Detection (SP)
|
100% |
12124
144.1 IPS |
|
|
Face Detection (HP)
|
100% |
18230
216.6 IPS |
|
|
Face Detection (Q)
|
100% |
34595
411.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10297
79.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18625
143.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
35047
272.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24816
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
54150
69.6 IPS |
|
|
Style Transfer (Q)
|
98% |
99029
127.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5328
196.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16275
601.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31731
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
4149
5.54 KIPS |
|
|
Text Classification (HP)
|
100% |
2105
2.81 KIPS |
|
|
Text Classification (Q)
|
92% |
2239
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5035
86.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4690
80.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4764
82.1 IPS |
