ASUS System Product Name
Geekbench AI Score
19701
Single Precision Score
35489
Half Precision Score
15329
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 15 2025 02:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| 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 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8316
1.55 KIPS |
|
|
Image Classification (HP)
|
100% |
15249
2.84 KIPS |
|
|
Image Classification (Q)
|
99% |
7391
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12858
208.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18540
300.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11976
194.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
101620
118.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
308641
360.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
85269
99.9 IPS |
|
|
Object Detection (SP)
|
100% |
10646
844.5 IPS |
|
|
Object Detection (HP)
|
100% |
16906
1.34 KIPS |
|
|
Object Detection (Q)
|
83% |
9152
739.4 IPS |
|
|
Face Detection (SP)
|
100% |
24811
294.8 IPS |
|
|
Face Detection (HP)
|
100% |
41337
491.2 IPS |
|
|
Face Detection (Q)
|
97% |
22578
269.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
49660
382.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
100680
775.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
39691
317.3 IPS |
|
|
Style Transfer (SP)
|
100% |
151248
194.4 IPS |
|
|
Style Transfer (HP)
|
100% |
516852
664.4 IPS |
|
|
Style Transfer (Q)
|
98% |
129866
167.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28498
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55160
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22104
818.5 IPS |
|
|
Text Classification (SP)
|
100% |
3407
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4150
5.54 KIPS |
|
|
Text Classification (Q)
|
97% |
2207
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4209
72.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4363
75.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1827
34.3 IPS |
