Generic
Geekbench AI Score
954
Single Precision Score
518
Half Precision Score
1025
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | PLJKT |
| Upload Date | June 14 2025 05:20 AM |
| Views | 6 |
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% |
612
113.9 IPS |
|
|
Image Classification (HP)
|
100% |
200
37.3 IPS |
|
|
Image Classification (Q)
|
96% |
792
147.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
438
7.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
275
4.45 IPS |
|
|
Image Segmentation (Q)
|
97% |
669
10.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1322
1.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
1107
1.29 IPS |
|
|
Pose Estimation (Q)
|
86% |
1686
1.99 IPS |
|
|
Object Detection (SP)
|
100% |
610
48.4 IPS |
|
|
Object Detection (HP)
|
100% |
260
20.6 IPS |
|
|
Object Detection (Q)
|
58% |
588
64.2 IPS |
|
|
Face Detection (SP)
|
100% |
1717
20.4 IPS |
|
|
Face Detection (HP)
|
100% |
600
7.13 IPS |
|
|
Face Detection (Q)
|
96% |
2013
24.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1685
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
793
6.11 IPS |
|
|
Depth Estimation (Q)
|
78% |
1957
15.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3750
4.82 IPS |
|
|
Style Transfer (HP)
|
100% |
3222
4.14 IPS |
|
|
Style Transfer (Q)
|
87% |
4118
5.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
643
23.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
612
22.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
769
28.5 IPS |
|
|
Text Classification (SP)
|
100% |
492
656.9 IPS |
|
|
Text Classification (HP)
|
100% |
275
366.8 IPS |
|
|
Text Classification (Q)
|
97% |
224
299.9 IPS |
|
|
Machine Translation (SP)
|
100% |
842
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
343
5.90 IPS |
|
|
Machine Translation (Q)
|
68% |
878
17.0 IPS |
