Framework Laptop 16 (AMD Ryzen 7040 Series)
Geekbench AI Score
3366
Single Precision Score
1427
Half Precision Score
5991
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Magic |
| Upload Date | February 05 2025 02:51 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% |
2734
508.4 IPS |
|
|
Image Classification (HP)
|
100% |
499
92.8 IPS |
|
|
Image Classification (Q)
|
99% |
5768
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1274
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
736
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3119
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5183
6.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
4244
4.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
20181
23.7 IPS |
|
|
Object Detection (SP)
|
100% |
2639
209.3 IPS |
|
|
Object Detection (HP)
|
100% |
600
47.6 IPS |
|
|
Object Detection (Q)
|
86% |
6678
536.7 IPS |
|
|
Face Detection (SP)
|
100% |
5203
61.8 IPS |
|
|
Face Detection (HP)
|
100% |
1496
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
9900
118.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7709
59.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2252
17.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
6084
48.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13492
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10943
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
25722
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2230
82.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2069
76.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3270
121.1 IPS |
|
|
Text Classification (SP)
|
100% |
1657
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
729
972.5 IPS |
|
|
Text Classification (Q)
|
97% |
1738
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1960
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2791
56.1 IPS |
