Framework Laptop 16 (AMD Ryzen 7040 Series)
Geekbench AI Score
2424
Single Precision Score
1076
Half Precision Score
5024
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JunkIce |
| Upload Date | July 29 2025 10:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| 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% |
2913
541.8 IPS |
|
|
Image Classification (HP)
|
100% |
536
99.7 IPS |
|
|
Image Classification (Q)
|
99% |
7472
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
987
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
598
9.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
2838
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3824
4.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2918
3.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
13857
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1641
130.2 IPS |
|
|
Object Detection (HP)
|
100% |
474
37.6 IPS |
|
|
Object Detection (Q)
|
86% |
5173
415.8 IPS |
|
|
Face Detection (SP)
|
100% |
4082
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
1081
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
7864
93.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4658
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1583
12.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
5556
44.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8330
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7889
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20208
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1448
53.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1337
49.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2324
86.0 IPS |
|
|
Text Classification (SP)
|
100% |
1056
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
485
647.8 IPS |
|
|
Text Classification (Q)
|
97% |
1315
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1604
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
537
9.24 IPS |
|
|
Machine Translation (Q)
|
65% |
2502
50.3 IPS |
