Framework Laptop 13 (AMD Ryzen 7040Series)
Geekbench AI Score
1991
Single Precision Score
1992
Half Precision Score
1341
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| Upload Date | March 05 2026 09:04 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 7640U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.4 LTS |
| Model | Framework Laptop 13 (AMD Ryzen 7040Series) |
| Motherboard | Framework FRANMDCP05 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7640U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.97 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 27.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1319
245.3 IPS |
|
|
Image Classification (HP)
|
100% |
1346
250.4 IPS |
|
|
Image Classification (Q)
|
99% |
901
168.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1846
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2034
33.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
973
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2499
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2496
2.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
2600
3.05 IPS |
|
|
Object Detection (SP)
|
100% |
1471
116.7 IPS |
|
|
Object Detection (HP)
|
100% |
1492
118.3 IPS |
|
|
Object Detection (Q)
|
85% |
902
72.6 IPS |
|
|
Face Detection (SP)
|
100% |
2524
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
2446
29.1 IPS |
|
|
Face Detection (Q)
|
97% |
1873
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2533
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2459
18.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1741
16.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3221
4.14 IPS |
|
|
Style Transfer (HP)
|
100% |
3001
3.86 IPS |
|
|
Style Transfer (Q)
|
98% |
4696
6.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1414
52.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1416
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1301
48.2 IPS |
|
|
Text Classification (SP)
|
100% |
1651
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
1689
2.25 KIPS |
|
|
Text Classification (Q)
|
92% |
757
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2278
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2243
38.6 IPS |
|
|
Machine Translation (Q)
|
58% |
608
14.3 IPS |
