Framework Laptop 13 (AMD Ryzen 7040Series)
Geekbench AI Score
3302
Single Precision Score
3237
Half Precision Score
10325
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 01:29 PM |
| Views | 3 |
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% |
1818
338.0 IPS |
|
|
Image Classification (HP)
|
100% |
1883
350.2 IPS |
|
|
Image Classification (Q)
|
100% |
7382
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2396
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2342
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5980
96.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4775
5.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3645
4.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
19092
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
1647
130.6 IPS |
|
|
Object Detection (HP)
|
100% |
1834
145.5 IPS |
|
|
Object Detection (Q)
|
88% |
6666
534.4 IPS |
|
|
Face Detection (SP)
|
100% |
3271
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
3273
38.9 IPS |
|
|
Face Detection (Q)
|
100% |
15572
185.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5805
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5708
44.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
16354
127.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12909
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12712
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
49916
64.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2693
99.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2681
99.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10036
371.7 IPS |
|
|
Text Classification (SP)
|
100% |
2662
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2658
3.55 KIPS |
|
|
Text Classification (Q)
|
92% |
4813
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2562
44.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2536
43.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3995
68.8 IPS |
