Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
4960
Single Precision Score
1196
Half Precision Score
9747
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | geekgrunt |
| Upload Date | March 26 2026 01:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| 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% |
1944
361.6 IPS |
|
|
Image Classification (HP)
|
100% |
234
43.5 IPS |
|
|
Image Classification (Q)
|
97% |
9075
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1768
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
383
6.21 IPS |
|
|
Image Segmentation (Q)
|
99% |
3280
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22367
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10671
12.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
68015
79.7 IPS |
|
|
Object Detection (SP)
|
100% |
2351
186.5 IPS |
|
|
Object Detection (HP)
|
100% |
250
19.8 IPS |
|
|
Object Detection (Q)
|
86% |
11682
938.8 IPS |
|
|
Face Detection (SP)
|
100% |
3684
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
415
4.93 IPS |
|
|
Face Detection (Q)
|
97% |
17642
210.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9867
76.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1316
10.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
7645
61.0 IPS |
|
|
Style Transfer (SP)
|
100% |
36983
47.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26788
34.4 IPS |
|
|
Style Transfer (Q)
|
98% |
42570
54.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3711
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3033
112.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5275
195.3 IPS |
|
|
Text Classification (SP)
|
100% |
3219
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
795
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1894
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3105
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (Q)
|
65% |
5710
114.7 IPS |
