ASUS System Product Name
Geekbench AI Score
21931
Single Precision Score
42050
Half Precision Score
16529
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 01 2025 02:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8930
1.66 KIPS |
|
|
Image Classification (HP)
|
100% |
17660
3.28 KIPS |
|
|
Image Classification (Q)
|
99% |
7865
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16623
269.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
27778
450.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15186
246.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
103061
120.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
326674
381.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
85405
100.0 IPS |
|
|
Object Detection (SP)
|
100% |
11976
949.9 IPS |
|
|
Object Detection (HP)
|
100% |
20690
1.64 KIPS |
|
|
Object Detection (Q)
|
83% |
10173
822.0 IPS |
|
|
Face Detection (SP)
|
100% |
29602
351.7 IPS |
|
|
Face Detection (HP)
|
100% |
53953
641.1 IPS |
|
|
Face Detection (Q)
|
97% |
25520
304.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
50653
390.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
105213
810.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
40300
322.2 IPS |
|
|
Style Transfer (SP)
|
100% |
155441
199.8 IPS |
|
|
Style Transfer (HP)
|
100% |
554094
712.3 IPS |
|
|
Style Transfer (Q)
|
98% |
131657
169.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29533
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58988
2.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22789
843.9 IPS |
|
|
Text Classification (SP)
|
100% |
3576
4.77 KIPS |
|
|
Text Classification (HP)
|
100% |
4509
6.02 KIPS |
|
|
Text Classification (Q)
|
97% |
2262
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5708
98.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6232
107.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2102
39.4 IPS |
