Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
13741
Single Precision Score
13832
Half Precision Score
33881
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | ascarter |
| Upload Date | November 08 2025 09:52 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| 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% |
7354
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
7457
1.39 KIPS |
|
|
Image Classification (Q)
|
100% |
18144
3.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9046
146.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8977
145.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25924
420.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27554
32.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
27669
32.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
110678
129.6 IPS |
|
|
Object Detection (SP)
|
100% |
8542
677.6 IPS |
|
|
Object Detection (HP)
|
100% |
8483
672.9 IPS |
|
|
Object Detection (Q)
|
88% |
19697
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
18530
220.2 IPS |
|
|
Face Detection (HP)
|
100% |
19635
233.3 IPS |
|
|
Face Detection (Q)
|
100% |
56922
676.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
22979
177.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23047
177.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
63168
491.6 IPS |
|
|
Style Transfer (SP)
|
100% |
63783
82.0 IPS |
|
|
Style Transfer (HP)
|
100% |
64735
83.2 IPS |
|
|
Style Transfer (Q)
|
98% |
252589
325.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13127
484.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12625
466.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36047
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
4985
6.65 KIPS |
|
|
Text Classification (HP)
|
100% |
5064
6.76 KIPS |
|
|
Text Classification (Q)
|
92% |
5979
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
8629
148.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8717
150.1 IPS |
|
|
Machine Translation (Q)
|
100% |
9932
171.1 IPS |
