Framework Laptop 16 (AMD Ryzen AI 300 Series)
Geekbench AI Score
1909
Single Precision Score
954
Half Precision Score
4143
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 03:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Framework Laptop 16 (AMD Ryzen AI 300 Series) |
| Motherboard | Framework FRANMHCP07 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1671
310.8 IPS |
|
|
Image Classification (HP)
|
100% |
460
85.6 IPS |
|
|
Image Classification (Q)
|
99% |
3863
720.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
880
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
481
7.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
1898
30.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2617
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2522
2.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
13779
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1457
115.6 IPS |
|
|
Object Detection (HP)
|
100% |
505
40.1 IPS |
|
|
Object Detection (Q)
|
86% |
4412
354.6 IPS |
|
|
Face Detection (SP)
|
100% |
3327
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
1121
13.3 IPS |
|
|
Face Detection (Q)
|
97% |
6335
75.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4279
33.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1401
10.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
8695
69.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6458
8.30 IPS |
|
|
Style Transfer (HP)
|
100% |
6098
7.84 IPS |
|
|
Style Transfer (Q)
|
98% |
15182
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1115
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1033
38.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1961
72.6 IPS |
|
|
Text Classification (SP)
|
100% |
924
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
485
647.0 IPS |
|
|
Text Classification (Q)
|
97% |
947
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1213
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
465
8.00 IPS |
|
|
Machine Translation (Q)
|
65% |
2156
43.3 IPS |
