Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
2935
Single Precision Score
2949
Half Precision Score
2513
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | BoommasterXD |
| Upload Date | January 17 2026 10:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.10 |
| 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 | 122.84 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1755
326.3 IPS |
|
|
Image Classification (HP)
|
100% |
1638
304.6 IPS |
|
|
Image Classification (Q)
|
99% |
1901
354.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3172
51.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3111
50.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1663
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4533
5.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
4588
5.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
6276
7.35 IPS |
|
|
Object Detection (SP)
|
100% |
2176
172.6 IPS |
|
|
Object Detection (HP)
|
100% |
2240
177.7 IPS |
|
|
Object Detection (Q)
|
85% |
2213
178.1 IPS |
|
|
Face Detection (SP)
|
100% |
3672
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
3705
44.0 IPS |
|
|
Face Detection (Q)
|
97% |
3738
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3154
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3145
24.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
3152
29.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5684
7.31 IPS |
|
|
Style Transfer (HP)
|
100% |
5725
7.36 IPS |
|
|
Style Transfer (Q)
|
98% |
9644
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1957
72.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2020
74.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2524
93.5 IPS |
|
|
Text Classification (SP)
|
100% |
1766
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1794
2.39 KIPS |
|
|
Text Classification (Q)
|
92% |
958
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3800
65.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3942
67.9 IPS |
|
|
Machine Translation (Q)
|
58% |
833
19.6 IPS |
