Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
6576
Single Precision Score
7355
Half Precision Score
17185
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | cgraff |
| Upload Date | October 15 2025 03:36 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Framework Desktop (AMD Ryzen AI Max 300 Series) |
| Motherboard | Framework FRANMFCP06 |
| Power Plan | Balanced |
| 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 | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4856
903.0 IPS |
|
|
Image Classification (HP)
|
100% |
3652
679.2 IPS |
|
|
Image Classification (Q)
|
100% |
12398
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4322
70.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5003
81.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6770
109.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10657
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
10155
11.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
33600
39.3 IPS |
|
|
Object Detection (SP)
|
100% |
2799
222.0 IPS |
|
|
Object Detection (HP)
|
100% |
4987
395.5 IPS |
|
|
Object Detection (Q)
|
88% |
12461
998.9 IPS |
|
|
Face Detection (SP)
|
100% |
8638
102.6 IPS |
|
|
Face Detection (HP)
|
100% |
12012
142.7 IPS |
|
|
Face Detection (Q)
|
100% |
24140
286.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8884
68.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10875
83.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
27345
212.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27830
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26854
34.5 IPS |
|
|
Style Transfer (Q)
|
98% |
105859
136.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5526
204.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6046
223.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15389
569.9 IPS |
|
|
Text Classification (SP)
|
100% |
3731
4.98 KIPS |
|
|
Text Classification (HP)
|
100% |
4416
5.89 KIPS |
|
|
Text Classification (Q)
|
92% |
6546
8.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5493
94.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5350
92.2 IPS |
|
|
Machine Translation (Q)
|
100% |
9081
156.4 IPS |
