Framework Laptop 13 (AMD Ryzen 7040Series)
Geekbench AI Score
2339
Single Precision Score
2349
Half Precision Score
1651
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | throo |
| Upload Date | February 13 2025 04:56 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7840U |
| System Information | |
|---|---|
| Operating System | EndeavourOS |
| 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% |
1679
312.2 IPS |
|
|
Image Classification (HP)
|
100% |
1678
312.0 IPS |
|
|
Image Classification (Q)
|
99% |
1340
249.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2511
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2534
41.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1175
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2724
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2656
3.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
3244
3.80 IPS |
|
|
Object Detection (SP)
|
100% |
1846
146.4 IPS |
|
|
Object Detection (HP)
|
100% |
1881
149.2 IPS |
|
|
Object Detection (Q)
|
85% |
1130
90.9 IPS |
|
|
Face Detection (SP)
|
100% |
2906
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
3004
35.7 IPS |
|
|
Face Detection (Q)
|
97% |
2558
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2867
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2807
21.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1994
18.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3455
4.44 IPS |
|
|
Style Transfer (HP)
|
100% |
3433
4.41 IPS |
|
|
Style Transfer (Q)
|
98% |
5663
7.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1648
60.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1668
61.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1648
61.1 IPS |
|
|
Text Classification (SP)
|
100% |
1787
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1815
2.42 KIPS |
|
|
Text Classification (Q)
|
92% |
837
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2729
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2749
47.3 IPS |
|
|
Machine Translation (Q)
|
58% |
655
15.4 IPS |
