Framework13 (AMD Ryzen7 7840U) Fedora 43 Framework Laptop 13 (AMD Ryzen 7040Series)
Geekbench AI Score
2477
Single Precision Score
2469
Half Precision Score
1687
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | kdred |
| Upload Date | November 17 2025 04:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7840U |
| System Information | |
|---|---|
| Operating System | Fedora Linux 43.20251114.0 (COSMIC Atomic) |
| 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 | 60.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1866
347.1 IPS |
|
|
Image Classification (HP)
|
100% |
1862
346.4 IPS |
|
|
Image Classification (Q)
|
99% |
1394
260.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2578
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2591
42.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1192
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2796
3.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2768
3.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
3325
3.90 IPS |
|
|
Object Detection (SP)
|
100% |
1901
150.8 IPS |
|
|
Object Detection (HP)
|
100% |
1872
148.5 IPS |
|
|
Object Detection (Q)
|
85% |
1158
93.2 IPS |
|
|
Face Detection (SP)
|
100% |
2991
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
2992
35.6 IPS |
|
|
Face Detection (Q)
|
97% |
2560
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2882
22.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2877
22.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2069
19.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3445
4.43 IPS |
|
|
Style Transfer (HP)
|
100% |
3495
4.49 IPS |
|
|
Style Transfer (Q)
|
98% |
5643
7.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1850
68.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1841
68.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1664
61.7 IPS |
|
|
Text Classification (SP)
|
100% |
2085
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2078
2.77 KIPS |
|
|
Text Classification (Q)
|
92% |
896
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2972
51.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2932
50.5 IPS |
|
|
Machine Translation (Q)
|
58% |
658
15.4 IPS |
