Framework Laptop 13 (AMD Ryzen 7040Series)
Geekbench AI Score
1353
Single Precision Score
692
Half Precision Score
2979
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 10:08 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Framework Laptop 13 (AMD Ryzen 7040Series) |
| Motherboard | Framework FRANMDCP07 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1914
356.0 IPS |
|
|
Image Classification (HP)
|
100% |
455
84.6 IPS |
|
|
Image Classification (Q)
|
99% |
4496
838.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
922
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
554
8.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
5609
91.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3525
4.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
3000
3.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
7590
8.90 IPS |
|
|
Object Detection (SP)
|
100% |
700
55.5 IPS |
|
|
Object Detection (HP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (Q)
|
86% |
1983
159.3 IPS |
|
|
Face Detection (SP)
|
100% |
1964
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
531
6.31 IPS |
|
|
Face Detection (Q)
|
97% |
3183
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2137
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
786
6.06 IPS |
|
|
Depth Estimation (Q)
|
78% |
2640
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4862
6.25 IPS |
|
|
Style Transfer (HP)
|
100% |
3877
4.98 IPS |
|
|
Style Transfer (Q)
|
98% |
10701
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
677
25.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
585
21.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1780
65.9 IPS |
|
|
Text Classification (SP)
|
100% |
480
641.3 IPS |
|
|
Text Classification (HP)
|
100% |
260
347.5 IPS |
|
|
Text Classification (Q)
|
97% |
490
656.4 IPS |
|
|
Machine Translation (SP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
568
9.78 IPS |
|
|
Machine Translation (Q)
|
65% |
1855
37.3 IPS |
