Z690 Pro RS
Geekbench AI Score
22569
Single Precision Score
41719
Half Precision Score
17587
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 02:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Z690 Pro RS |
| Motherboard | ASRock Z690 Pro RS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9495
1.77 KIPS |
|
|
Image Classification (HP)
|
100% |
17173
3.19 KIPS |
|
|
Image Classification (Q)
|
100% |
8763
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15880
257.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23472
380.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
14702
239.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
121431
141.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
388360
453.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
112888
132.2 IPS |
|
|
Object Detection (SP)
|
100% |
11364
901.4 IPS |
|
|
Object Detection (HP)
|
100% |
19798
1.57 KIPS |
|
|
Object Detection (Q)
|
83% |
9814
792.9 IPS |
|
|
Face Detection (SP)
|
100% |
27992
332.6 IPS |
|
|
Face Detection (HP)
|
100% |
43960
522.3 IPS |
|
|
Face Detection (Q)
|
97% |
24785
295.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
53768
414.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
114863
885.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
43800
349.6 IPS |
|
|
Style Transfer (SP)
|
100% |
170113
218.7 IPS |
|
|
Style Transfer (HP)
|
100% |
582792
749.2 IPS |
|
|
Style Transfer (Q)
|
98% |
146504
188.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33591
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64962
2.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25784
954.8 IPS |
|
|
Text Classification (SP)
|
100% |
4023
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
5041
6.73 KIPS |
|
|
Text Classification (Q)
|
97% |
2432
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4764
82.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5348
92.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1989
37.3 IPS |
