ASRock Z890M Riptide WiFi
Geekbench AI Score
18700
Single Precision Score
30014
Half Precision Score
12285
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | opensourceeverywhere |
| Upload Date | December 23 2024 08:17 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z890M Riptide WiFi |
| Motherboard | ASRock Z890M Riptide WiFi |
| Power Plan | Ausbalanciert |
| 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% |
9457
1.76 KIPS |
|
|
Image Classification (HP)
|
100% |
12023
2.24 KIPS |
|
|
Image Classification (Q)
|
100% |
7979
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14452
234.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17959
291.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11509
187.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
71597
83.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
299692
349.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
57832
67.8 IPS |
|
|
Object Detection (SP)
|
100% |
12155
964.2 IPS |
|
|
Object Detection (HP)
|
100% |
15500
1.23 KIPS |
|
|
Object Detection (Q)
|
89% |
8316
665.4 IPS |
|
|
Face Detection (SP)
|
100% |
24686
293.3 IPS |
|
|
Face Detection (HP)
|
100% |
33869
402.4 IPS |
|
|
Face Detection (Q)
|
97% |
17319
206.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
56706
436.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
90830
699.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
32110
257.6 IPS |
|
|
Style Transfer (SP)
|
100% |
182784
235.0 IPS |
|
|
Style Transfer (HP)
|
100% |
524834
674.7 IPS |
|
|
Style Transfer (Q)
|
98% |
123827
159.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29612
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53347
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14438
534.6 IPS |
|
|
Text Classification (SP)
|
100% |
2886
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3269
4.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1786
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2011
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2101
36.2 IPS |
|
|
Machine Translation (Q)
|
60% |
999
22.3 IPS |
