Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
24012
Single Precision Score
34091
Half Precision Score
18549
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | September 26 2025 11:36 PM |
| Views | 7 |
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% |
12651
2.35 KIPS |
|
|
Image Classification (HP)
|
100% |
13793
2.57 KIPS |
|
|
Image Classification (Q)
|
100% |
11293
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20196
327.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16070
260.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
17026
276.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
106105
123.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
271980
317.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
94507
110.7 IPS |
|
|
Object Detection (SP)
|
100% |
7353
583.2 IPS |
|
|
Object Detection (HP)
|
100% |
13225
1.05 KIPS |
|
|
Object Detection (Q)
|
87% |
7077
568.4 IPS |
|
|
Face Detection (SP)
|
100% |
30959
367.9 IPS |
|
|
Face Detection (HP)
|
100% |
46429
551.7 IPS |
|
|
Face Detection (Q)
|
97% |
23889
284.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
45697
352.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
72403
557.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
33504
268.7 IPS |
|
|
Style Transfer (SP)
|
100% |
197411
253.8 IPS |
|
|
Style Transfer (HP)
|
100% |
396578
509.8 IPS |
|
|
Style Transfer (Q)
|
98% |
167665
216.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40563
1.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57677
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31293
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
4108
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4196
5.60 KIPS |
|
|
Text Classification (Q)
|
97% |
2767
3.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
6869
118.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8245
142.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3227
60.5 IPS |
