Framework Laptop 16 (AMD Ryzen 7040 Series)
Geekbench AI Score
2395
Single Precision Score
2345
Half Precision Score
1656
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | jooe |
| Upload Date | February 01 2026 09:45 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Fedora Linux 43 (Workstation Edition) |
| Model | Framework Laptop 16 (AMD Ryzen 7040 Series) |
| Motherboard | Framework FRANMZCP07 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.14 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.65 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1843
342.8 IPS |
|
|
Image Classification (HP)
|
100% |
1853
344.6 IPS |
|
|
Image Classification (Q)
|
99% |
1313
244.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2764
44.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1218
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2791
3.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2814
3.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
3280
3.84 IPS |
|
|
Object Detection (SP)
|
100% |
1809
143.5 IPS |
|
|
Object Detection (HP)
|
100% |
1825
144.8 IPS |
|
|
Object Detection (Q)
|
85% |
1118
90.0 IPS |
|
|
Face Detection (SP)
|
100% |
2976
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
2985
35.5 IPS |
|
|
Face Detection (Q)
|
97% |
2574
30.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3000
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2963
22.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2050
19.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3547
4.56 IPS |
|
|
Style Transfer (HP)
|
100% |
3538
4.55 IPS |
|
|
Style Transfer (Q)
|
98% |
6056
7.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1710
63.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1499
55.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1535
56.9 IPS |
|
|
Text Classification (SP)
|
100% |
1894
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1426
1.90 KIPS |
|
|
Text Classification (Q)
|
92% |
803
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2787
48.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2861
49.3 IPS |
|
|
Machine Translation (Q)
|
58% |
672
15.8 IPS |
