Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
24770
Single Precision Score
34392
Half Precision Score
19602
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | mnin |
| Upload Date | October 04 2025 08:40 PM |
| Views | 27 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| 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% |
12516
2.33 KIPS |
|
|
Image Classification (HP)
|
100% |
13662
2.54 KIPS |
|
|
Image Classification (Q)
|
100% |
11175
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19836
321.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16514
267.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
16711
271.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
118752
138.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
267520
312.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
103400
121.1 IPS |
|
|
Object Detection (SP)
|
100% |
7337
582.0 IPS |
|
|
Object Detection (HP)
|
100% |
13103
1.04 KIPS |
|
|
Object Detection (Q)
|
87% |
7020
563.8 IPS |
|
|
Face Detection (SP)
|
100% |
29042
345.1 IPS |
|
|
Face Detection (HP)
|
100% |
47196
560.8 IPS |
|
|
Face Detection (Q)
|
97% |
24292
289.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
51014
393.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
71973
554.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
43530
349.1 IPS |
|
|
Style Transfer (SP)
|
100% |
214303
275.5 IPS |
|
|
Style Transfer (HP)
|
100% |
392468
504.5 IPS |
|
|
Style Transfer (Q)
|
98% |
183666
236.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39700
1.47 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55996
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30766
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
4404
5.88 KIPS |
|
|
Text Classification (HP)
|
100% |
4601
6.14 KIPS |
|
|
Text Classification (Q)
|
97% |
3019
4.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
7242
124.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8523
146.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3426
64.3 IPS |
