Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
2944
Single Precision Score
2961
Half Precision Score
2487
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | December 12 2025 11:05 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Fedora Linux 43 (KDE Plasma Desktop Edition) |
| Model | Framework Desktop (AMD Ryzen AI Max 300 Series) |
| Motherboard | Framework FRANMFCP04 |
| 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 | 62.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1793
333.4 IPS |
|
|
Image Classification (HP)
|
100% |
1780
331.0 IPS |
|
|
Image Classification (Q)
|
99% |
1857
346.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3081
49.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3075
49.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1627
26.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4624
5.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
4623
5.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
6329
7.42 IPS |
|
|
Object Detection (SP)
|
100% |
2131
169.1 IPS |
|
|
Object Detection (HP)
|
100% |
2293
181.9 IPS |
|
|
Object Detection (Q)
|
85% |
2200
177.1 IPS |
|
|
Face Detection (SP)
|
100% |
3696
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
3822
45.4 IPS |
|
|
Face Detection (Q)
|
97% |
3641
43.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3188
24.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3133
24.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
3045
28.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5597
7.20 IPS |
|
|
Style Transfer (HP)
|
100% |
5581
7.17 IPS |
|
|
Style Transfer (Q)
|
98% |
9548
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1939
71.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1951
72.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2570
95.2 IPS |
|
|
Text Classification (SP)
|
100% |
1801
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1645
2.20 KIPS |
|
|
Text Classification (Q)
|
92% |
929
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3904
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4166
71.8 IPS |
|
|
Machine Translation (Q)
|
58% |
853
20.0 IPS |
