Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
6652
Single Precision Score
6143
Half Precision Score
18025
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | September 26 2025 11:38 PM |
| Views | 5 |
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% |
4400
818.3 IPS |
|
|
Image Classification (HP)
|
100% |
3115
579.3 IPS |
|
|
Image Classification (Q)
|
100% |
12776
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4636
75.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4161
67.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12392
200.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9993
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10244
12.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
34223
40.1 IPS |
|
|
Object Detection (SP)
|
100% |
3810
302.2 IPS |
|
|
Object Detection (HP)
|
100% |
3467
275.0 IPS |
|
|
Object Detection (Q)
|
88% |
15107
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
8492
100.9 IPS |
|
|
Face Detection (HP)
|
100% |
8403
99.8 IPS |
|
|
Face Detection (Q)
|
100% |
31773
377.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10362
79.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6326
48.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
17239
134.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24745
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24017
30.9 IPS |
|
|
Style Transfer (Q)
|
98% |
98290
126.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4975
183.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6124
226.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14129
523.2 IPS |
|
|
Text Classification (SP)
|
100% |
3578
4.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3873
5.17 KIPS |
|
|
Text Classification (Q)
|
92% |
6898
9.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
5643
97.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5491
94.6 IPS |
|
|
Machine Translation (Q)
|
100% |
8431
145.2 IPS |
