AMD
Geekbench AI Score
1882
Single Precision Score
1882
Half Precision Score
1149
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Namelessmint |
| Upload Date | May 29 2025 04:59 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
1478
274.9 IPS |
|
|
Image Classification (HP)
|
100% |
1458
271.1 IPS |
|
|
Image Classification (Q)
|
99% |
727
135.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1739
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1746
28.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
834
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2117
2.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2117
2.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
2016
2.36 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.7 IPS |
|
|
Object Detection (HP)
|
100% |
1541
122.2 IPS |
|
|
Object Detection (Q)
|
85% |
746
60.0 IPS |
|
|
Face Detection (SP)
|
100% |
2200
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
2200
26.1 IPS |
|
|
Face Detection (Q)
|
97% |
1967
23.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2076
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2063
15.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1480
13.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2516
3.23 IPS |
|
|
Style Transfer (HP)
|
100% |
2506
3.22 IPS |
|
|
Style Transfer (Q)
|
98% |
3995
5.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1641
60.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1644
60.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1099
40.7 IPS |
|
|
Text Classification (SP)
|
100% |
1652
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
1685
2.25 KIPS |
|
|
Text Classification (Q)
|
92% |
645
866.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2114
36.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2141
36.9 IPS |
|
|
Machine Translation (Q)
|
58% |
537
12.6 IPS |
