ASUS System Product Name
Geekbench AI Score
1616
Single Precision Score
814
Half Precision Score
2262
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 18 2025 01:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550M-PLUS (WI-FI) |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1241
230.7 IPS |
|
|
Image Classification (HP)
|
100% |
313
58.1 IPS |
|
|
Image Classification (Q)
|
96% |
2618
488.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
817
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
455
7.37 IPS |
|
|
Image Segmentation (Q)
|
97% |
1279
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2486
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2271
2.65 IPS |
|
|
Pose Estimation (Q)
|
86% |
5671
6.70 IPS |
|
|
Object Detection (SP)
|
100% |
1117
88.6 IPS |
|
|
Object Detection (HP)
|
100% |
405
32.1 IPS |
|
|
Object Detection (Q)
|
58% |
1628
177.8 IPS |
|
|
Face Detection (SP)
|
100% |
1803
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
747
8.88 IPS |
|
|
Face Detection (Q)
|
96% |
4219
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3304
25.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1141
8.79 IPS |
|
|
Depth Estimation (Q)
|
78% |
5068
40.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6379
8.20 IPS |
|
|
Style Transfer (HP)
|
100% |
5338
6.86 IPS |
|
|
Style Transfer (Q)
|
87% |
5868
7.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1125
41.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1050
38.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1532
56.8 IPS |
|
|
Text Classification (SP)
|
100% |
967
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
510
681.1 IPS |
|
|
Text Classification (Q)
|
97% |
359
480.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1045
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
403
6.94 IPS |
|
|
Machine Translation (Q)
|
68% |
1650
31.9 IPS |
