Framework Laptop 16 (AMD Ryzen 7040 Series)
Geekbench AI Score
5246
Single Precision Score
5121
Half Precision Score
14309
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Magic |
| Upload Date | February 05 2025 02:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Framework Laptop 16 (AMD Ryzen 7040 Series) |
| Motherboard | Framework FRANMZCP07 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3538
658.0 IPS |
|
|
Image Classification (HP)
|
100% |
3519
654.4 IPS |
|
|
Image Classification (Q)
|
100% |
8861
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3482
56.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3080
49.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9900
160.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5972
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
5815
6.79 IPS |
|
|
Pose Estimation (Q)
|
98% |
25955
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
2945
233.6 IPS |
|
|
Object Detection (HP)
|
100% |
3004
238.3 IPS |
|
|
Object Detection (Q)
|
88% |
9317
746.9 IPS |
|
|
Face Detection (SP)
|
100% |
7389
87.8 IPS |
|
|
Face Detection (HP)
|
100% |
7339
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
22919
272.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8365
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8352
64.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
23937
186.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18246
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
18048
23.2 IPS |
|
|
Style Transfer (Q)
|
98% |
70827
91.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3867
142.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3554
131.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13178
488.0 IPS |
|
|
Text Classification (SP)
|
100% |
3575
4.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3577
4.77 KIPS |
|
|
Text Classification (Q)
|
92% |
5668
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4681
80.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4667
80.4 IPS |
|
|
Machine Translation (Q)
|
100% |
5848
100.7 IPS |
