Framework Laptop 16 (AMD Ryzen AI 300 Series)
Geekbench AI Score
3150
Single Precision Score
1702
Half Precision Score
7079
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | November 19 2025 09:56 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% |
2517
468.1 IPS |
|
|
Image Classification (HP)
|
100% |
727
135.3 IPS |
|
|
Image Classification (Q)
|
99% |
7326
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1088
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1111
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3140
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4547
5.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
4062
4.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
20605
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
2584
205.0 IPS |
|
|
Object Detection (HP)
|
100% |
900
71.4 IPS |
|
|
Object Detection (Q)
|
86% |
7071
568.3 IPS |
|
|
Face Detection (SP)
|
100% |
4506
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
1653
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
10066
120.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6410
49.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2719
20.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
15482
123.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11162
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10771
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
24135
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2115
78.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2027
74.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4020
148.8 IPS |
|
|
Text Classification (SP)
|
100% |
1988
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
794
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1858
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2212
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
889
15.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3357
67.5 IPS |
