AMD
Geekbench AI Score
1906
Single Precision Score
1904
Half Precision Score
1160
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | Namelessmint |
| Upload Date | August 07 2025 03:07 PM |
| Views | 8 |
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% |
1498
278.6 IPS |
|
|
Image Classification (HP)
|
100% |
1493
277.6 IPS |
|
|
Image Classification (Q)
|
99% |
728
135.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1758
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1754
28.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
837
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2146
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2145
2.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
2047
2.40 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.6 IPS |
|
|
Object Detection (HP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (Q)
|
85% |
754
60.7 IPS |
|
|
Face Detection (SP)
|
100% |
2223
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
2194
26.1 IPS |
|
|
Face Detection (Q)
|
97% |
1971
23.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2071
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2081
16.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1516
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2514
3.23 IPS |
|
|
Style Transfer (HP)
|
100% |
2509
3.23 IPS |
|
|
Style Transfer (Q)
|
98% |
4108
5.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1701
62.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1683
62.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1119
41.5 IPS |
|
|
Text Classification (SP)
|
100% |
1706
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1706
2.28 KIPS |
|
|
Text Classification (Q)
|
92% |
647
868.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2106
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2144
36.9 IPS |
|
|
Machine Translation (Q)
|
58% |
532
12.5 IPS |
