PC | Ryzen 5 3600 | RX 580 Generic
Geekbench AI Score
1528
Single Precision Score
734
Half Precision Score
1786
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ImAchillefs |
| Upload Date | October 25 2025 05:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B450 Pro4 |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1088
202.3 IPS |
|
|
Image Classification (HP)
|
100% |
294
54.6 IPS |
|
|
Image Classification (Q)
|
96% |
1370
255.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
686
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
343
5.55 IPS |
|
|
Image Segmentation (Q)
|
97% |
1666
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2447
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2041
2.38 IPS |
|
|
Pose Estimation (Q)
|
86% |
2706
3.20 IPS |
|
|
Object Detection (SP)
|
100% |
1056
83.7 IPS |
|
|
Object Detection (HP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (Q)
|
58% |
987
107.8 IPS |
|
|
Face Detection (SP)
|
100% |
2523
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
799
9.50 IPS |
|
|
Face Detection (Q)
|
96% |
3212
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2982
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1029
7.92 IPS |
|
|
Depth Estimation (Q)
|
78% |
3177
25.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6651
8.55 IPS |
|
|
Style Transfer (HP)
|
100% |
4853
6.24 IPS |
|
|
Style Transfer (Q)
|
87% |
6413
8.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1008
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
959
35.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1334
49.4 IPS |
|
|
Text Classification (SP)
|
100% |
740
988.0 IPS |
|
|
Text Classification (HP)
|
100% |
362
482.9 IPS |
|
|
Text Classification (Q)
|
97% |
538
721.1 IPS |
|
|
Machine Translation (SP)
|
100% |
970
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
453
7.80 IPS |
|
|
Machine Translation (Q)
|
68% |
1154
22.3 IPS |
