Framework Laptop 13 (AMD Ryzen 7040Series)
Geekbench AI Score
3206
Single Precision Score
5162
Half Precision Score
2435
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 01:27 PM |
| Views | 4 |
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 | Ausbalanciert |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1284
238.8 IPS |
|
|
Image Classification (HP)
|
100% |
2148
399.5 IPS |
|
|
Image Classification (Q)
|
100% |
1163
216.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1223
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2008
32.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
997
16.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15181
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
37465
43.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
14085
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1092
86.6 IPS |
|
|
Object Detection (HP)
|
100% |
1696
134.5 IPS |
|
|
Object Detection (Q)
|
87% |
1053
84.5 IPS |
|
|
Face Detection (SP)
|
100% |
1938
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
3833
45.5 IPS |
|
|
Face Detection (Q)
|
97% |
1608
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6834
52.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12504
96.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
5035
40.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29411
37.8 IPS |
|
|
Style Transfer (HP)
|
100% |
54432
70.0 IPS |
|
|
Style Transfer (Q)
|
98% |
17230
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5244
193.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8827
325.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3219
119.2 IPS |
|
|
Text Classification (SP)
|
100% |
1175
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1271
1.70 KIPS |
|
|
Text Classification (Q)
|
97% |
934
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1838
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1675
28.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1016
19.1 IPS |
