ASUS System Product Name
Geekbench AI Score
2080
Single Precision Score
942
Half Precision Score
2511
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Gorstak |
| Upload Date | December 28 2024 12:24 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B550M-A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1257
233.7 IPS |
|
|
Image Classification (HP)
|
100% |
392
72.9 IPS |
|
|
Image Classification (Q)
|
96% |
2192
409.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
781
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
427
6.92 IPS |
|
|
Image Segmentation (Q)
|
97% |
1524
24.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3176
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
2279
2.66 IPS |
|
|
Pose Estimation (Q)
|
86% |
4822
5.70 IPS |
|
|
Object Detection (SP)
|
100% |
1656
131.4 IPS |
|
|
Object Detection (HP)
|
100% |
447
35.5 IPS |
|
|
Object Detection (Q)
|
58% |
1586
173.3 IPS |
|
|
Face Detection (SP)
|
100% |
2839
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
1078
12.8 IPS |
|
|
Face Detection (Q)
|
96% |
4408
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5554
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1588
12.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
4957
39.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8970
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
5400
6.94 IPS |
|
|
Style Transfer (Q)
|
87% |
7725
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1673
61.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1460
53.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1465
54.3 IPS |
|
|
Text Classification (SP)
|
100% |
985
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
459
612.5 IPS |
|
|
Text Classification (Q)
|
97% |
863
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
523
9.02 IPS |
|
|
Machine Translation (Q)
|
68% |
1830
35.3 IPS |
