Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
24217
Single Precision Score
34246
Half Precision Score
20310
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | DragonLand |
| Upload Date | December 11 2025 03:31 AM |
| Views | 5 |
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 | High performance |
| 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% |
12491
2.32 KIPS |
|
|
Image Classification (HP)
|
100% |
13412
2.49 KIPS |
|
|
Image Classification (Q)
|
100% |
11484
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14101
228.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16943
274.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
18514
301.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
118762
138.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
274656
320.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
102193
119.7 IPS |
|
|
Object Detection (SP)
|
100% |
7389
586.1 IPS |
|
|
Object Detection (HP)
|
100% |
12746
1.01 KIPS |
|
|
Object Detection (Q)
|
87% |
7265
583.5 IPS |
|
|
Face Detection (SP)
|
100% |
30744
365.3 IPS |
|
|
Face Detection (HP)
|
100% |
46459
552.0 IPS |
|
|
Face Detection (Q)
|
97% |
25256
301.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
54645
421.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
72256
556.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
44467
356.6 IPS |
|
|
Style Transfer (SP)
|
100% |
220988
284.1 IPS |
|
|
Style Transfer (HP)
|
100% |
406243
522.2 IPS |
|
|
Style Transfer (Q)
|
98% |
190168
245.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38928
1.44 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55465
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32451
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
4367
5.83 KIPS |
|
|
Text Classification (HP)
|
100% |
4485
5.99 KIPS |
|
|
Text Classification (Q)
|
97% |
3152
4.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
7113
122.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8223
141.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3465
65.0 IPS |
