Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
4748
Single Precision Score
1110
Half Precision Score
10162
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | ascarter |
| Upload Date | November 08 2025 09:50 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1780
331.1 IPS |
|
|
Image Classification (HP)
|
100% |
221
41.0 IPS |
|
|
Image Classification (Q)
|
97% |
8735
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
351
5.68 IPS |
|
|
Image Segmentation (Q)
|
99% |
3167
51.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20027
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
10130
11.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
63396
74.3 IPS |
|
|
Object Detection (SP)
|
100% |
2158
171.2 IPS |
|
|
Object Detection (HP)
|
100% |
206
16.3 IPS |
|
|
Object Detection (Q)
|
86% |
11537
927.2 IPS |
|
|
Face Detection (SP)
|
100% |
3480
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
390
4.64 IPS |
|
|
Face Detection (Q)
|
97% |
17142
204.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10650
82.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1183
9.11 IPS |
|
|
Depth Estimation (Q)
|
78% |
18662
148.9 IPS |
|
|
Style Transfer (SP)
|
100% |
33564
43.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24901
32.0 IPS |
|
|
Style Transfer (Q)
|
98% |
39957
51.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3187
117.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2872
106.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4694
173.8 IPS |
|
|
Text Classification (SP)
|
100% |
3175
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1753
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2804
48.3 IPS |
|
|
Machine Translation (HP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (Q)
|
65% |
5521
110.9 IPS |
