Framework Laptop 16 (AMD Ryzen 7040 Series)
Geekbench AI Score
3876
Single Precision Score
1693
Half Precision Score
6842
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 07:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Framework Laptop 16 (AMD Ryzen 7040 Series) |
| Motherboard | Framework FRANMZCP09 |
| Power Plan | Balanced |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3511
653.0 IPS |
|
|
Image Classification (HP)
|
100% |
642
119.4 IPS |
|
|
Image Classification (Q)
|
99% |
7935
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1075
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
838
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3614
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6621
7.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
5324
6.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
23207
27.2 IPS |
|
|
Object Detection (SP)
|
100% |
3130
248.3 IPS |
|
|
Object Detection (HP)
|
100% |
810
64.3 IPS |
|
|
Object Detection (Q)
|
86% |
7708
619.5 IPS |
|
|
Face Detection (SP)
|
100% |
6776
80.5 IPS |
|
|
Face Detection (HP)
|
100% |
1781
21.2 IPS |
|
|
Face Detection (Q)
|
97% |
11092
132.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8889
68.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2593
20.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
6278
50.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15819
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13425
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28337
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2436
90.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2345
86.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3374
124.9 IPS |
|
|
Text Classification (SP)
|
100% |
1808
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
744
992.7 IPS |
|
|
Text Classification (Q)
|
97% |
1894
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2334
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
774
13.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3480
69.9 IPS |
