ASRock Z890M Riptide WiFi
Geekbench AI Score
25949
Single Precision Score
39655
Half Precision Score
15411
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 05 2025 03:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z890M Riptide WiFi |
| Motherboard | ASRock Z890M Riptide WiFi |
| 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 | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9969
1.85 KIPS |
|
|
Image Classification (HP)
|
99% |
14315
2.67 KIPS |
|
|
Image Classification (Q)
|
100% |
6640
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18410
298.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
26730
433.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
12943
210.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
167718
195.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
365610
426.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
127304
149.2 IPS |
|
|
Object Detection (SP)
|
100% |
12844
1.02 KIPS |
|
|
Object Detection (HP)
|
100% |
18800
1.49 KIPS |
|
|
Object Detection (Q)
|
85% |
8604
692.1 IPS |
|
|
Face Detection (SP)
|
100% |
35933
427.0 IPS |
|
|
Face Detection (HP)
|
100% |
51611
613.2 IPS |
|
|
Face Detection (Q)
|
97% |
23112
275.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
63679
490.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
112282
865.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
37202
297.9 IPS |
|
|
Style Transfer (SP)
|
100% |
272159
349.9 IPS |
|
|
Style Transfer (HP)
|
100% |
641714
824.9 IPS |
|
|
Style Transfer (Q)
|
98% |
185506
239.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39347
1.45 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56540
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22144
820.0 IPS |
|
|
Text Classification (SP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (HP)
|
99% |
3702
4.94 KIPS |
|
|
Text Classification (Q)
|
97% |
1433
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4817
83.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4698
80.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1587
29.8 IPS |
