ASUS System Product Name
Geekbench AI Score
21987
Single Precision Score
42032
Half Precision Score
16591
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 01 2025 02:17 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% |
8998
1.67 KIPS |
|
|
Image Classification (HP)
|
100% |
17573
3.27 KIPS |
|
|
Image Classification (Q)
|
99% |
7929
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16706
270.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
27901
452.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15273
248.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
103329
120.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
326247
380.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
85921
100.6 IPS |
|
|
Object Detection (SP)
|
100% |
12005
952.2 IPS |
|
|
Object Detection (HP)
|
100% |
20777
1.65 KIPS |
|
|
Object Detection (Q)
|
83% |
10271
829.9 IPS |
|
|
Face Detection (SP)
|
100% |
29632
352.1 IPS |
|
|
Face Detection (HP)
|
100% |
53599
636.9 IPS |
|
|
Face Detection (Q)
|
97% |
25543
304.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
50670
390.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
105658
814.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
40760
325.9 IPS |
|
|
Style Transfer (SP)
|
100% |
156247
200.9 IPS |
|
|
Style Transfer (HP)
|
100% |
553893
712.0 IPS |
|
|
Style Transfer (Q)
|
98% |
132283
170.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29568
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58702
2.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22680
839.8 IPS |
|
|
Text Classification (SP)
|
100% |
3577
4.77 KIPS |
|
|
Text Classification (HP)
|
100% |
4505
6.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2253
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5709
98.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6244
107.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2102
39.4 IPS |
