Framework Laptop 13 (AMD Ryzen 7040Series)
Geekbench AI Score
3457
Single Precision Score
3458
Half Precision Score
10287
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 01:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7640U w/ Radeon 760M Graphics |
| 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% |
2095
389.5 IPS |
|
|
Image Classification (HP)
|
100% |
2067
384.4 IPS |
|
|
Image Classification (Q)
|
100% |
6536
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2562
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2387
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6822
110.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4672
5.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
4643
5.42 IPS |
|
|
Pose Estimation (Q)
|
98% |
19156
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
2039
161.7 IPS |
|
|
Object Detection (HP)
|
100% |
1982
157.2 IPS |
|
|
Object Detection (Q)
|
88% |
6137
492.0 IPS |
|
|
Face Detection (SP)
|
100% |
3667
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
3747
44.5 IPS |
|
|
Face Detection (Q)
|
100% |
15342
182.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5509
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5651
43.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
16155
125.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12665
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12550
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
52082
67.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2483
91.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2559
94.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9330
345.5 IPS |
|
|
Text Classification (SP)
|
100% |
2653
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
2690
3.59 KIPS |
|
|
Text Classification (Q)
|
92% |
4868
6.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2837
48.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2947
50.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4322
74.5 IPS |
