ASUS System Product Name
Geekbench AI Score
2120
Single Precision Score
623
Half Precision Score
2478
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 22 2024 03:38 PM |
| Views | 28 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro N (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550M-PLUS |
| Power Plan | Elevado desempenho |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1400
260.4 IPS |
|
|
Image Classification (HP)
|
100% |
130
24.2 IPS |
|
|
Image Classification (Q)
|
97% |
2517
469.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1267
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
191
3.09 IPS |
|
|
Image Segmentation (Q)
|
97% |
1528
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3229
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2827
3.30 IPS |
|
|
Pose Estimation (Q)
|
87% |
7673
9.06 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.8 IPS |
|
|
Object Detection (HP)
|
100% |
178
14.1 IPS |
|
|
Object Detection (Q)
|
86% |
1387
111.5 IPS |
|
|
Face Detection (SP)
|
100% |
1683
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
257
3.05 IPS |
|
|
Face Detection (Q)
|
96% |
3004
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3962
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
794
6.12 IPS |
|
|
Depth Estimation (Q)
|
76% |
4649
37.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8696
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7376
9.48 IPS |
|
|
Style Transfer (Q)
|
87% |
10987
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1638
60.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1452
53.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2340
86.7 IPS |
|
|
Text Classification (SP)
|
100% |
1372
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
589
786.3 IPS |
|
|
Text Classification (Q)
|
97% |
324
433.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1825
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
552
9.52 IPS |
|
|
Machine Translation (Q)
|
60% |
1835
40.9 IPS |
