Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
225
Single Precision Score
226
Half Precision Score
168
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| User | steamydeck |
| Upload Date | December 19 2025 07:53 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Bazzite |
| 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 | 5.35 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
113
21.1 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.5 IPS |
|
|
Image Classification (Q)
|
97% |
95
17.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
162
2.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
122
1.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
222
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
221
0.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
188
0.22 IPS |
|
|
Object Detection (SP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (Q)
|
87% |
110
8.85 IPS |
|
|
Face Detection (SP)
|
100% |
443
5.26 IPS |
|
|
Face Detection (HP)
|
100% |
442
5.25 IPS |
|
|
Face Detection (Q)
|
97% |
347
4.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
313
2.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
313
2.41 IPS |
|
|
Depth Estimation (Q)
|
64% |
218
2.00 IPS |
|
|
Style Transfer (SP)
|
100% |
653
0.84 IPS |
|
|
Style Transfer (HP)
|
100% |
648
0.83 IPS |
|
|
Style Transfer (Q)
|
98% |
559
0.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
142
5.25 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
143
5.28 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
119
4.40 IPS |
|
|
Text Classification (SP)
|
100% |
173
231.1 IPS |
|
|
Text Classification (HP)
|
100% |
173
231.2 IPS |
|
|
Text Classification (Q)
|
91% |
124
166.2 IPS |
|
|
Machine Translation (SP)
|
100% |
281
4.85 IPS |
|
|
Machine Translation (HP)
|
100% |
280
4.82 IPS |
|
|
Machine Translation (Q)
|
58% |
124
2.96 IPS |
