ASUS System Product Name
Geekbench AI Score
1866
Single Precision Score
921
Half Precision Score
2969
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 02:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B450M-A II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1288
239.5 IPS |
|
|
Image Classification (HP)
|
100% |
367
68.2 IPS |
|
|
Image Classification (Q)
|
96% |
2583
482.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1035
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
526
8.53 IPS |
|
|
Image Segmentation (Q)
|
97% |
1859
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2948
3.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
2549
2.97 IPS |
|
|
Pose Estimation (Q)
|
86% |
6569
7.77 IPS |
|
|
Object Detection (SP)
|
100% |
1279
101.5 IPS |
|
|
Object Detection (HP)
|
100% |
442
35.0 IPS |
|
|
Object Detection (Q)
|
58% |
1909
208.6 IPS |
|
|
Face Detection (SP)
|
100% |
2486
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
899
10.7 IPS |
|
|
Face Detection (Q)
|
96% |
4331
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3581
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1280
9.86 IPS |
|
|
Depth Estimation (Q)
|
78% |
6319
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7255
9.33 IPS |
|
|
Style Transfer (HP)
|
100% |
6025
7.74 IPS |
|
|
Style Transfer (Q)
|
87% |
8568
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1300
48.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1164
43.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1940
71.9 IPS |
|
|
Text Classification (SP)
|
100% |
990
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
514
686.2 IPS |
|
|
Text Classification (Q)
|
97% |
1091
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1229
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (Q)
|
68% |
1784
34.5 IPS |
