Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
4971
Single Precision Score
1091
Half Precision Score
10403
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | jinpachu |
| Upload Date | November 09 2025 01:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| 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% |
1816
337.8 IPS |
|
|
Image Classification (HP)
|
100% |
159
29.6 IPS |
|
|
Image Classification (Q)
|
97% |
8890
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
374
6.07 IPS |
|
|
Image Segmentation (Q)
|
99% |
3099
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20776
24.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10380
12.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
61376
72.0 IPS |
|
|
Object Detection (SP)
|
100% |
2321
184.1 IPS |
|
|
Object Detection (HP)
|
100% |
220
17.4 IPS |
|
|
Object Detection (Q)
|
86% |
11674
938.2 IPS |
|
|
Face Detection (SP)
|
100% |
3658
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
401
4.77 IPS |
|
|
Face Detection (Q)
|
97% |
17660
210.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11401
87.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1054
8.12 IPS |
|
|
Depth Estimation (Q)
|
78% |
20012
159.7 IPS |
|
|
Style Transfer (SP)
|
100% |
33842
43.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26471
34.0 IPS |
|
|
Style Transfer (Q)
|
98% |
41940
54.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3512
129.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2884
106.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5019
185.9 IPS |
|
|
Text Classification (SP)
|
100% |
3152
4.21 KIPS |
|
|
Text Classification (HP)
|
100% |
783
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1810
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3115
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
701
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
5586
112.2 IPS |
