Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
2923
Single Precision Score
2947
Half Precision Score
2564
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | geekgrunt |
| Upload Date | March 26 2026 12:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Nobara Linux 43 (KDE Plasma Desktop 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 | 62.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1737
323.0 IPS |
|
|
Image Classification (HP)
|
100% |
1811
336.7 IPS |
|
|
Image Classification (Q)
|
99% |
1904
355.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3095
50.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3030
49.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1742
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4605
5.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
4527
5.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
6543
7.67 IPS |
|
|
Object Detection (SP)
|
100% |
2213
175.5 IPS |
|
|
Object Detection (HP)
|
100% |
2267
179.8 IPS |
|
|
Object Detection (Q)
|
85% |
2206
177.6 IPS |
|
|
Face Detection (SP)
|
100% |
3662
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
3574
42.5 IPS |
|
|
Face Detection (Q)
|
97% |
3835
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3142
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3113
24.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
3139
29.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5735
7.37 IPS |
|
|
Style Transfer (HP)
|
100% |
5770
7.42 IPS |
|
|
Style Transfer (Q)
|
98% |
10467
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1976
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2010
74.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2670
98.9 IPS |
|
|
Text Classification (SP)
|
100% |
1607
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
1724
2.30 KIPS |
|
|
Text Classification (Q)
|
92% |
950
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3976
68.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3951
68.1 IPS |
|
|
Machine Translation (Q)
|
58% |
805
18.9 IPS |
