Framework Laptop 13 (AMD Ryzen 7040Series)
Geekbench AI Score
3098
Single Precision Score
1427
Half Precision Score
5841
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Rapidwire |
| Upload Date | February 02 2025 07:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Framework Laptop 13 (AMD Ryzen 7040Series) |
| Motherboard | Framework FRANMDCP07 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2865
532.8 IPS |
|
|
Image Classification (HP)
|
100% |
535
99.5 IPS |
|
|
Image Classification (Q)
|
99% |
6688
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
663
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
694
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2888
47.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6093
7.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
4539
5.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
21258
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
2532
200.9 IPS |
|
|
Object Detection (HP)
|
100% |
720
57.1 IPS |
|
|
Object Detection (Q)
|
86% |
6495
522.0 IPS |
|
|
Face Detection (SP)
|
100% |
4663
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
1459
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
8809
105.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7820
60.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2267
17.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
6967
55.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13408
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10804
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
22905
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2072
76.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1912
70.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3062
113.4 IPS |
|
|
Text Classification (SP)
|
100% |
1468
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
696
928.9 IPS |
|
|
Text Classification (Q)
|
97% |
1554
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1872
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2594
52.1 IPS |
