Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
2800
Single Precision Score
2798
Half Precision Score
2415
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | Magnusai |
| Upload Date | January 12 2026 06:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | CachyOS |
| 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% |
1706
317.3 IPS |
|
|
Image Classification (HP)
|
100% |
1774
329.9 IPS |
|
|
Image Classification (Q)
|
99% |
1816
338.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3042
49.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2837
46.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1565
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4296
5.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
4163
4.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
6116
7.17 IPS |
|
|
Object Detection (SP)
|
100% |
2053
162.9 IPS |
|
|
Object Detection (HP)
|
100% |
2118
168.0 IPS |
|
|
Object Detection (Q)
|
85% |
2126
171.2 IPS |
|
|
Face Detection (SP)
|
100% |
3520
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
3475
41.3 IPS |
|
|
Face Detection (Q)
|
97% |
3494
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3028
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3003
23.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2960
27.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5172
6.65 IPS |
|
|
Style Transfer (HP)
|
100% |
5205
6.69 IPS |
|
|
Style Transfer (Q)
|
98% |
9194
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1931
71.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1947
71.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2656
98.4 IPS |
|
|
Text Classification (SP)
|
100% |
1713
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1624
2.17 KIPS |
|
|
Text Classification (Q)
|
92% |
927
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3551
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3867
66.6 IPS |
|
|
Machine Translation (Q)
|
58% |
781
18.3 IPS |
