Framework Laptop 13 (AMD Ryzen AI 300 Series)
Geekbench AI Score
2222
Single Precision Score
1140
Half Precision Score
4893
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 12 2025 11:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Framework Laptop 13 (AMD Ryzen AI 300 Series) |
| Motherboard | Framework FRANMGCP07 |
| Power Plan | Equilibrado |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1469
273.1 IPS |
|
|
Image Classification (HP)
|
100% |
489
90.9 IPS |
|
|
Image Classification (Q)
|
99% |
5022
936.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1007
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
621
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2603
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3562
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
3139
3.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
12246
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
100% |
516
41.0 IPS |
|
|
Object Detection (Q)
|
86% |
4222
339.3 IPS |
|
|
Face Detection (SP)
|
100% |
4140
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
1207
14.3 IPS |
|
|
Face Detection (Q)
|
97% |
6839
81.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3973
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1616
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
9843
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7670
9.86 IPS |
|
|
Style Transfer (HP)
|
100% |
8310
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19180
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1354
50.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1235
45.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2480
91.8 IPS |
|
|
Text Classification (SP)
|
100% |
1289
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
675
900.5 IPS |
|
|
Text Classification (Q)
|
97% |
1321
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1636
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
560
9.65 IPS |
|
|
Machine Translation (Q)
|
65% |
2755
55.4 IPS |
