Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
12534
Single Precision Score
12772
Half Precision Score
31754
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | jinpachu |
| Upload Date | November 09 2025 02:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| 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 | 31.11 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6403
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
6993
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
17290
3.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8704
141.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8742
141.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25844
418.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24856
29.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
25675
30.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
103349
121.0 IPS |
|
|
Object Detection (SP)
|
100% |
7427
589.1 IPS |
|
|
Object Detection (HP)
|
100% |
8047
638.3 IPS |
|
|
Object Detection (Q)
|
88% |
19416
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
17237
204.8 IPS |
|
|
Face Detection (HP)
|
100% |
17180
204.1 IPS |
|
|
Face Detection (Q)
|
100% |
55905
664.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
22916
176.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22942
176.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
62138
483.6 IPS |
|
|
Style Transfer (SP)
|
100% |
60225
77.4 IPS |
|
|
Style Transfer (HP)
|
100% |
60764
78.1 IPS |
|
|
Style Transfer (Q)
|
98% |
232663
300.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12527
462.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12193
450.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35521
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
4305
5.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4049
5.40 KIPS |
|
|
Text Classification (Q)
|
92% |
4878
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
7253
124.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7740
133.3 IPS |
|
|
Machine Translation (Q)
|
100% |
8301
143.0 IPS |
