Framework Laptop 16 (AMD Ryzen 7040 Series)
Geekbench AI Score
6132
Single Precision Score
6105
Half Precision Score
17112
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | simonfoilen |
| Upload Date | August 31 2025 12:24 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Framework Laptop 16 (AMD Ryzen 7040 Series) |
| Motherboard | Framework FRANMZCP09 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3962
736.9 IPS |
|
|
Image Classification (HP)
|
100% |
3969
738.1 IPS |
|
|
Image Classification (Q)
|
100% |
11194
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4615
74.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4145
67.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
12188
197.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7664
8.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
7627
8.90 IPS |
|
|
Pose Estimation (Q)
|
98% |
30629
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
3418
271.1 IPS |
|
|
Object Detection (HP)
|
100% |
3469
275.2 IPS |
|
|
Object Detection (Q)
|
88% |
11511
922.7 IPS |
|
|
Face Detection (SP)
|
100% |
8189
97.3 IPS |
|
|
Face Detection (HP)
|
100% |
7971
94.7 IPS |
|
|
Face Detection (Q)
|
100% |
27601
328.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9706
74.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9554
73.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
28134
218.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20797
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21123
27.2 IPS |
|
|
Style Transfer (Q)
|
98% |
80240
103.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4538
167.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4628
170.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15684
580.8 IPS |
|
|
Text Classification (SP)
|
100% |
3751
5.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3868
5.16 KIPS |
|
|
Text Classification (Q)
|
92% |
5753
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
5585
96.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5738
98.8 IPS |
|
|
Machine Translation (Q)
|
100% |
7964
137.2 IPS |
