Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
2956
Single Precision Score
2986
Half Precision Score
2532
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | avandeputte |
| Upload Date | December 10 2025 09:35 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Fedora Linux 43 (Workstation Edition) |
| Model | Framework Desktop (AMD Ryzen AI Max 300 Series) |
| Motherboard | Framework FRANMFCP06 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 5.19 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1805
335.7 IPS |
|
|
Image Classification (HP)
|
100% |
1819
338.3 IPS |
|
|
Image Classification (Q)
|
99% |
1884
351.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3056
49.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3310
53.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1681
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4599
5.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
4446
5.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
6400
7.50 IPS |
|
|
Object Detection (SP)
|
100% |
2218
176.0 IPS |
|
|
Object Detection (HP)
|
100% |
2299
182.3 IPS |
|
|
Object Detection (Q)
|
85% |
2210
177.9 IPS |
|
|
Face Detection (SP)
|
100% |
3685
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
3786
45.0 IPS |
|
|
Face Detection (Q)
|
97% |
3797
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3182
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3110
24.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
3103
29.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5612
7.21 IPS |
|
|
Style Transfer (HP)
|
100% |
5501
7.07 IPS |
|
|
Style Transfer (Q)
|
98% |
9867
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1998
73.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1986
73.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2598
96.3 IPS |
|
|
Text Classification (SP)
|
100% |
1772
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1756
2.34 KIPS |
|
|
Text Classification (Q)
|
92% |
948
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3891
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4061
70.0 IPS |
|
|
Machine Translation (Q)
|
58% |
847
19.9 IPS |
