Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
5069
Single Precision Score
1143
Half Precision Score
10505
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | avandeputte |
| Upload Date | December 10 2025 09:41 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Fedora Linux 43 (Workstation 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 | 125.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1910
355.2 IPS |
|
|
Image Classification (HP)
|
100% |
198
36.7 IPS |
|
|
Image Classification (Q)
|
97% |
9026
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
357
5.79 IPS |
|
|
Image Segmentation (Q)
|
99% |
3477
56.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
22557
26.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
10633
12.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
68042
79.8 IPS |
|
|
Object Detection (SP)
|
100% |
2295
182.1 IPS |
|
|
Object Detection (HP)
|
100% |
246
19.5 IPS |
|
|
Object Detection (Q)
|
86% |
11797
948.1 IPS |
|
|
Face Detection (SP)
|
100% |
3669
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
392
4.66 IPS |
|
|
Face Detection (Q)
|
97% |
17755
211.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12045
92.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1265
9.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
16732
133.5 IPS |
|
|
Style Transfer (SP)
|
100% |
34860
44.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26313
33.8 IPS |
|
|
Style Transfer (Q)
|
98% |
41546
53.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3562
131.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2848
105.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5034
186.4 IPS |
|
|
Text Classification (SP)
|
100% |
3094
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
792
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1892
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3073
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
5529
111.1 IPS |
