Z690 Pro RS
Geekbench AI Score
4253
Single Precision Score
1661
Half Precision Score
7669
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 02:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13600K |
| 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% |
3537
657.9 IPS |
|
|
Image Classification (HP)
|
100% |
620
115.3 IPS |
|
|
Image Classification (Q)
|
99% |
6687
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1956
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
996
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9245
150.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7263
8.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
4657
5.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
23962
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
3057
242.5 IPS |
|
|
Object Detection (HP)
|
100% |
772
61.2 IPS |
|
|
Object Detection (Q)
|
86% |
6439
517.5 IPS |
|
|
Face Detection (SP)
|
100% |
7000
83.2 IPS |
|
|
Face Detection (HP)
|
100% |
1649
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
9672
115.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9078
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2199
16.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
15424
123.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16593
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11614
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
17004
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3043
112.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2210
81.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5425
200.9 IPS |
|
|
Text Classification (SP)
|
100% |
1789
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
831
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1754
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2198
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3058
61.5 IPS |
