ASUS System Product Name
Geekbench AI Score
21816
Single Precision Score
38965
Half Precision Score
17050
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 17 2025 02:58 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 | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. B650M-AYW WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8996
1.67 KIPS |
|
|
Image Classification (HP)
|
100% |
15175
2.82 KIPS |
|
|
Image Classification (Q)
|
100% |
8272
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14509
235.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20284
328.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13711
222.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
123128
143.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
382010
445.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
113691
133.2 IPS |
|
|
Object Detection (SP)
|
100% |
11399
904.2 IPS |
|
|
Object Detection (HP)
|
100% |
19425
1.54 KIPS |
|
|
Object Detection (Q)
|
83% |
9905
800.3 IPS |
|
|
Face Detection (SP)
|
100% |
28315
336.4 IPS |
|
|
Face Detection (HP)
|
100% |
44303
526.4 IPS |
|
|
Face Detection (Q)
|
97% |
24514
292.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
53452
411.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
115643
891.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
43731
349.1 IPS |
|
|
Style Transfer (SP)
|
100% |
174578
224.4 IPS |
|
|
Style Transfer (HP)
|
100% |
585648
752.9 IPS |
|
|
Style Transfer (Q)
|
98% |
150602
194.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33162
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61286
2.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25804
955.5 IPS |
|
|
Text Classification (SP)
|
100% |
3370
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4064
5.42 KIPS |
|
|
Text Classification (Q)
|
97% |
2162
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4516
77.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4727
81.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1805
33.9 IPS |
