AMD
Geekbench AI Score
2728
Single Precision Score
779
Half Precision Score
4308
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | Namelessmint |
| Upload Date | August 07 2025 03:13 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600GT |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (Workstation Edition) |
| Model | AMD |
| Motherboard | AMD A520 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600GT |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.67 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1940
360.8 IPS |
|
|
Image Classification (HP)
|
100% |
210
39.0 IPS |
|
|
Image Classification (Q)
|
94% |
3745
699.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
311
5.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
2101
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5025
5.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
3973
4.64 IPS |
|
|
Pose Estimation (Q)
|
86% |
10322
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1261
100.1 IPS |
|
|
Object Detection (HP)
|
100% |
275
21.9 IPS |
|
|
Object Detection (Q)
|
58% |
3128
341.8 IPS |
|
|
Face Detection (SP)
|
100% |
2022
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
322
3.83 IPS |
|
|
Face Detection (Q)
|
96% |
9589
114.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5745
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1181
9.10 IPS |
|
|
Depth Estimation (Q)
|
78% |
7927
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12053
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6338
8.15 IPS |
|
|
Style Transfer (Q)
|
87% |
12362
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2328
86.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1859
68.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2734
101.3 IPS |
|
|
Text Classification (SP)
|
100% |
1973
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
462
616.6 IPS |
|
|
Text Classification (Q)
|
97% |
1208
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2059
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
563
9.69 IPS |
|
|
Machine Translation (Q)
|
68% |
2794
54.0 IPS |
