Meu Desktop - CPU - ONNX System manufacturer System Product Name
Geekbench AI Score
1456
Single Precision Score
734
Half Precision Score
1511
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jeronimocruz |
| Upload Date | January 10 2025 04:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 2600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF B450-PLUS GAMING |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.85 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1065
198.0 IPS |
|
|
Image Classification (HP)
|
100% |
290
53.9 IPS |
|
|
Image Classification (Q)
|
96% |
1148
214.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
514
8.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
349
5.66 IPS |
|
|
Image Segmentation (Q)
|
97% |
1020
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2319
2.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
1942
2.27 IPS |
|
|
Pose Estimation (Q)
|
86% |
2354
2.78 IPS |
|
|
Object Detection (SP)
|
100% |
1090
86.5 IPS |
|
|
Object Detection (HP)
|
100% |
364
28.8 IPS |
|
|
Object Detection (Q)
|
58% |
821
89.7 IPS |
|
|
Face Detection (SP)
|
100% |
2433
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
837
9.95 IPS |
|
|
Face Detection (Q)
|
96% |
2725
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3115
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1127
8.68 IPS |
|
|
Depth Estimation (Q)
|
78% |
2711
21.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5846
7.52 IPS |
|
|
Style Transfer (HP)
|
100% |
4901
6.30 IPS |
|
|
Style Transfer (Q)
|
87% |
5394
7.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
982
36.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
912
33.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
974
36.1 IPS |
|
|
Text Classification (SP)
|
100% |
684
912.4 IPS |
|
|
Text Classification (HP)
|
100% |
359
478.9 IPS |
|
|
Text Classification (Q)
|
97% |
635
850.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1046
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
420
7.24 IPS |
|
|
Machine Translation (Q)
|
68% |
1115
21.5 IPS |
