ASUS System Product Name
Geekbench AI Score
2598
Single Precision Score
1237
Half Precision Score
4037
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 26 2025 10:29 AM |
| 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. TUF GAMING B550M-PLUS WIFI 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% |
1943
361.3 IPS |
|
|
Image Classification (HP)
|
100% |
491
91.4 IPS |
|
|
Image Classification (Q)
|
96% |
3753
700.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
687
11.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
2333
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3583
4.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
3093
3.61 IPS |
|
|
Pose Estimation (Q)
|
86% |
8334
9.85 IPS |
|
|
Object Detection (SP)
|
100% |
1738
137.8 IPS |
|
|
Object Detection (HP)
|
100% |
631
50.0 IPS |
|
|
Object Detection (Q)
|
58% |
2802
306.2 IPS |
|
|
Face Detection (SP)
|
100% |
3911
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
1359
16.1 IPS |
|
|
Face Detection (Q)
|
96% |
6659
79.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5039
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1755
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8015
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9520
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7606
9.78 IPS |
|
|
Style Transfer (Q)
|
87% |
11109
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1802
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1504
55.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2562
94.9 IPS |
|
|
Text Classification (SP)
|
100% |
1310
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
700
934.6 IPS |
|
|
Text Classification (Q)
|
97% |
1353
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2011
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (Q)
|
68% |
2738
52.9 IPS |
