Generic
Geekbench AI Score
964
Single Precision Score
523
Half Precision Score
1010
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | PLJKT |
| Upload Date | May 26 2025 05:52 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 2600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X470 Master SLI |
| Power Plan | AMD Ryzen 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 | 3.40 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
643
119.6 IPS |
|
|
Image Classification (HP)
|
100% |
217
40.3 IPS |
|
|
Image Classification (Q)
|
96% |
824
153.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
446
7.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
292
4.74 IPS |
|
|
Image Segmentation (Q)
|
97% |
665
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1432
1.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
1205
1.41 IPS |
|
|
Pose Estimation (Q)
|
86% |
1633
1.93 IPS |
|
|
Object Detection (SP)
|
100% |
678
53.8 IPS |
|
|
Object Detection (HP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (Q)
|
58% |
555
60.7 IPS |
|
|
Face Detection (SP)
|
100% |
1684
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
612
7.27 IPS |
|
|
Face Detection (Q)
|
96% |
1955
23.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1694
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
773
5.96 IPS |
|
|
Depth Estimation (Q)
|
78% |
1934
15.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3522
4.53 IPS |
|
|
Style Transfer (HP)
|
100% |
3150
4.05 IPS |
|
|
Style Transfer (Q)
|
87% |
3970
5.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
637
23.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
590
21.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
745
27.6 IPS |
|
|
Text Classification (SP)
|
100% |
462
616.1 IPS |
|
|
Text Classification (HP)
|
100% |
260
346.7 IPS |
|
|
Text Classification (Q)
|
97% |
228
305.7 IPS |
|
|
Machine Translation (SP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (Q)
|
68% |
873
16.9 IPS |
