Framework Laptop 13 (AMD Ryzen 7040Series)
Geekbench AI Score
4738
Single Precision Score
6948
Half Precision Score
3590
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 02:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 760M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Framework Laptop 13 (AMD Ryzen 7040Series) |
| Motherboard | Framework FRANMDCP05 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7640U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1864
346.6 IPS |
|
|
Image Classification (HP)
|
100% |
2951
548.7 IPS |
|
|
Image Classification (Q)
|
100% |
1782
331.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2036
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2660
43.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1664
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24964
29.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
44486
51.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17616
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
1786
141.6 IPS |
|
|
Object Detection (HP)
|
100% |
2554
202.6 IPS |
|
|
Object Detection (Q)
|
87% |
1631
131.0 IPS |
|
|
Face Detection (SP)
|
100% |
3115
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
5896
70.1 IPS |
|
|
Face Detection (Q)
|
97% |
2662
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10012
77.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17302
133.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
8067
64.7 IPS |
|
|
Style Transfer (SP)
|
100% |
42558
54.7 IPS |
|
|
Style Transfer (HP)
|
100% |
70937
91.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27229
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7605
280.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12689
468.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5032
186.3 IPS |
|
|
Text Classification (SP)
|
100% |
1801
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1740
2.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1368
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1855
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1841
31.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1039
19.5 IPS |
