Framework Laptop 13 (AMD Ryzen 7040Series)
Geekbench AI Score
2177
Single Precision Score
2190
Half Precision Score
1648
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | mikewashere |
| Upload Date | August 31 2024 06:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7840U |
| System Information | |
|---|---|
| Operating System | NixOS 24.05 (Uakari) |
| 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 | 60.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1667
310.0 IPS |
|
|
Image Classification (HP)
|
100% |
1664
309.4 IPS |
|
|
Image Classification (Q)
|
99% |
1356
252.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2277
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1166
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2394
2.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
2366
2.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
3071
3.60 IPS |
|
|
Object Detection (SP)
|
100% |
1482
117.6 IPS |
|
|
Object Detection (HP)
|
100% |
1467
116.4 IPS |
|
|
Object Detection (Q)
|
86% |
1167
93.9 IPS |
|
|
Face Detection (SP)
|
100% |
2826
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
2994
35.6 IPS |
|
|
Face Detection (Q)
|
97% |
2585
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2615
20.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
2614
20.1 IPS |
|
|
Depth Estimation (Q)
|
74% |
2274
18.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3001
3.86 IPS |
|
|
Style Transfer (HP)
|
100% |
3030
3.90 IPS |
|
|
Style Transfer (Q)
|
98% |
5220
6.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1675
61.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1626
60.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1694
62.8 IPS |
|
|
Text Classification (SP)
|
100% |
1819
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1871
2.50 KIPS |
|
|
Text Classification (Q)
|
92% |
829
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2629
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2536
43.7 IPS |
|
|
Machine Translation (Q)
|
58% |
607
14.3 IPS |
