Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
2930
Single Precision Score
2865
Half Precision Score
2504
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | ascarter |
| Upload Date | November 08 2025 09:48 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Fedora Linux 43.20251108.0 (COSMIC Atomic) |
| 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% |
1867
347.2 IPS |
|
|
Image Classification (HP)
|
100% |
1795
333.7 IPS |
|
|
Image Classification (Q)
|
99% |
1848
344.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3228
52.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3135
50.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1666
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4466
5.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
4488
5.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
6168
7.23 IPS |
|
|
Object Detection (SP)
|
100% |
2185
173.3 IPS |
|
|
Object Detection (HP)
|
100% |
2141
169.8 IPS |
|
|
Object Detection (Q)
|
85% |
2147
172.8 IPS |
|
|
Face Detection (SP)
|
100% |
3685
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
3489
41.5 IPS |
|
|
Face Detection (Q)
|
97% |
3663
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3152
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3121
24.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
3210
30.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5571
7.16 IPS |
|
|
Style Transfer (HP)
|
100% |
5529
7.11 IPS |
|
|
Style Transfer (Q)
|
98% |
9653
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1994
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1971
72.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2653
98.3 IPS |
|
|
Text Classification (SP)
|
100% |
1693
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1591
2.12 KIPS |
|
|
Text Classification (Q)
|
92% |
923
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3633
62.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3651
62.9 IPS |
|
|
Machine Translation (Q)
|
58% |
857
20.1 IPS |
