Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
2866
Single Precision Score
2865
Half Precision Score
2451
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | jinpachu |
| Upload Date | November 09 2025 01:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
1623
301.9 IPS |
|
|
Image Classification (HP)
|
100% |
1806
335.9 IPS |
|
|
Image Classification (Q)
|
99% |
1839
343.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3093
50.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3137
50.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1607
26.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4422
5.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
4441
5.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
6261
7.34 IPS |
|
|
Object Detection (SP)
|
100% |
2171
172.2 IPS |
|
|
Object Detection (HP)
|
100% |
2138
169.6 IPS |
|
|
Object Detection (Q)
|
85% |
2123
170.9 IPS |
|
|
Face Detection (SP)
|
100% |
3677
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
3662
43.5 IPS |
|
|
Face Detection (Q)
|
97% |
3600
42.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3132
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3184
24.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
3015
28.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5494
7.06 IPS |
|
|
Style Transfer (HP)
|
100% |
5443
7.00 IPS |
|
|
Style Transfer (Q)
|
98% |
9516
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1955
72.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1914
70.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2599
96.3 IPS |
|
|
Text Classification (SP)
|
100% |
1682
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
1558
2.08 KIPS |
|
|
Text Classification (Q)
|
92% |
920
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3735
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3662
63.1 IPS |
|
|
Machine Translation (Q)
|
58% |
807
19.0 IPS |
