ASUS System Product Name
Geekbench AI Score
22368
Single Precision Score
40768
Half Precision Score
17487
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 10:38 AM |
| 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 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9689
1.80 KIPS |
|
|
Image Classification (HP)
|
100% |
17109
3.18 KIPS |
|
|
Image Classification (Q)
|
100% |
8903
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14257
231.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19905
322.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
13414
218.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
122503
142.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
377161
440.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
114481
134.1 IPS |
|
|
Object Detection (SP)
|
100% |
11691
927.4 IPS |
|
|
Object Detection (HP)
|
100% |
20801
1.65 KIPS |
|
|
Object Detection (Q)
|
83% |
10111
816.9 IPS |
|
|
Face Detection (SP)
|
100% |
28850
342.8 IPS |
|
|
Face Detection (HP)
|
100% |
45092
535.8 IPS |
|
|
Face Detection (Q)
|
97% |
24657
294.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
54603
420.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
113273
872.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
44486
355.1 IPS |
|
|
Style Transfer (SP)
|
100% |
171560
220.5 IPS |
|
|
Style Transfer (HP)
|
100% |
593123
762.5 IPS |
|
|
Style Transfer (Q)
|
98% |
148791
191.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34669
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67796
2.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26371
976.5 IPS |
|
|
Text Classification (SP)
|
100% |
3987
5.32 KIPS |
|
|
Text Classification (HP)
|
100% |
4948
6.60 KIPS |
|
|
Text Classification (Q)
|
97% |
2402
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4243
73.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4671
80.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1872
35.1 IPS |
