ASUS System Product Name
Geekbench AI Score
2708
Single Precision Score
1298
Half Precision Score
4093
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 09 2025 07:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B450-PLUS II |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2460
457.4 IPS |
|
|
Image Classification (HP)
|
100% |
577
107.3 IPS |
|
|
Image Classification (Q)
|
96% |
3854
719.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1234
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
741
12.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
2448
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4541
5.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
3713
4.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
9225
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
2210
175.3 IPS |
|
|
Object Detection (HP)
|
100% |
707
56.1 IPS |
|
|
Object Detection (Q)
|
58% |
2750
300.4 IPS |
|
|
Face Detection (SP)
|
100% |
3147
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
1326
15.8 IPS |
|
|
Face Detection (Q)
|
96% |
5403
64.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3854
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1877
14.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8548
68.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9839
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8595
11.0 IPS |
|
|
Style Transfer (Q)
|
87% |
11027
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2054
75.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1602
59.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2691
99.7 IPS |
|
|
Text Classification (SP)
|
100% |
1375
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
740
987.4 IPS |
|
|
Text Classification (Q)
|
97% |
1531
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2073
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.26 IPS |
|
|
Machine Translation (Q)
|
68% |
2629
50.8 IPS |
