AMD
Geekbench AI Score
2686
Single Precision Score
1274
Half Precision Score
4000
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Namelessmint |
| Upload Date | May 15 2025 12:53 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600GT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AMD |
| Motherboard | AMD A520 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600GT |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 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% |
2313
430.1 IPS |
|
|
Image Classification (HP)
|
100% |
492
91.5 IPS |
|
|
Image Classification (Q)
|
96% |
4193
783.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
724
11.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
2370
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4361
5.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
3716
4.34 IPS |
|
|
Pose Estimation (Q)
|
86% |
9532
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1973
156.5 IPS |
|
|
Object Detection (HP)
|
100% |
616
48.9 IPS |
|
|
Object Detection (Q)
|
58% |
2821
308.3 IPS |
|
|
Face Detection (SP)
|
100% |
2498
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
1110
13.2 IPS |
|
|
Face Detection (Q)
|
96% |
6193
73.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5776
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1874
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
8006
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10453
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8906
11.4 IPS |
|
|
Style Transfer (Q)
|
87% |
9825
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1918
70.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1700
62.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2298
85.2 IPS |
|
|
Text Classification (SP)
|
100% |
1435
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
737
984.4 IPS |
|
|
Text Classification (Q)
|
97% |
1483
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1750
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
599
10.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2364
45.7 IPS |
