Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
13017
Single Precision Score
13135
Half Precision Score
30963
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | geekgrunt |
| Upload Date | March 26 2026 01:42 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Nobara Linux 43 (KDE Plasma Desktop 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 | 62.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7511
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
7548
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
18113
3.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4595
74.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4418
71.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9294
150.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
28376
33.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
28513
33.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
112554
131.8 IPS |
|
|
Object Detection (SP)
|
100% |
8269
655.9 IPS |
|
|
Object Detection (HP)
|
100% |
8769
695.6 IPS |
|
|
Object Detection (Q)
|
88% |
20308
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
19490
231.6 IPS |
|
|
Face Detection (HP)
|
100% |
19353
230.0 IPS |
|
|
Face Detection (Q)
|
100% |
58043
689.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
24147
186.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
24246
186.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
62290
484.7 IPS |
|
|
Style Transfer (SP)
|
100% |
64916
83.5 IPS |
|
|
Style Transfer (HP)
|
100% |
65571
84.3 IPS |
|
|
Style Transfer (Q)
|
98% |
252982
326.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13554
500.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14062
519.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37316
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
4778
6.38 KIPS |
|
|
Text Classification (HP)
|
100% |
4839
6.46 KIPS |
|
|
Text Classification (Q)
|
92% |
6017
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
8718
150.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8757
150.8 IPS |
|
|
Machine Translation (Q)
|
100% |
10250
176.6 IPS |
