Framework Laptop 13 (AMD Ryzen 7040Series)
Geekbench AI Score
2475
Single Precision Score
2487
Half Precision Score
1685
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Antho1980 |
| Upload Date | May 16 2025 10:09 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7840U |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.1 |
| Model | Framework Laptop 13 (AMD Ryzen 7040Series) |
| Motherboard | Framework FRANMDCP07 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.13 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 27.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1878
349.2 IPS |
|
|
Image Classification (HP)
|
100% |
1880
349.7 IPS |
|
|
Image Classification (Q)
|
99% |
1374
256.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2563
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2564
41.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1150
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2919
3.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2920
3.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
3305
3.87 IPS |
|
|
Object Detection (SP)
|
100% |
1806
143.2 IPS |
|
|
Object Detection (HP)
|
100% |
1877
148.9 IPS |
|
|
Object Detection (Q)
|
85% |
1119
90.0 IPS |
|
|
Face Detection (SP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
2996
35.6 IPS |
|
|
Face Detection (Q)
|
97% |
2582
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2974
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2996
23.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2092
19.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3416
4.39 IPS |
|
|
Style Transfer (HP)
|
100% |
3455
4.44 IPS |
|
|
Style Transfer (Q)
|
98% |
5962
7.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1771
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1778
65.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1614
59.8 IPS |
|
|
Text Classification (SP)
|
100% |
2050
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2014
2.69 KIPS |
|
|
Text Classification (Q)
|
92% |
870
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3096
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3096
53.3 IPS |
|
|
Machine Translation (Q)
|
58% |
701
16.5 IPS |
