Framework Laptop 13 (AMD Ryzen 7040Series)
Geekbench AI Score
8116
Single Precision Score
11108
Half Precision Score
6001
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | throo |
| Upload Date | February 13 2025 07:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 780M |
| 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% |
2964
551.3 IPS |
|
|
Image Classification (HP)
|
100% |
4898
910.9 IPS |
|
|
Image Classification (Q)
|
100% |
2831
526.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4089
66.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4385
71.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3333
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
42017
49.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
68961
80.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
30858
36.1 IPS |
|
|
Object Detection (SP)
|
100% |
2865
227.3 IPS |
|
|
Object Detection (HP)
|
100% |
3936
312.2 IPS |
|
|
Object Detection (Q)
|
87% |
2632
211.4 IPS |
|
|
Face Detection (SP)
|
100% |
6336
75.3 IPS |
|
|
Face Detection (HP)
|
100% |
11093
131.8 IPS |
|
|
Face Detection (Q)
|
97% |
5338
63.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18663
143.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
26372
203.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
13708
109.9 IPS |
|
|
Style Transfer (SP)
|
100% |
70525
90.7 IPS |
|
|
Style Transfer (HP)
|
100% |
108980
140.1 IPS |
|
|
Style Transfer (Q)
|
98% |
47616
61.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13989
516.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20803
768.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8348
309.1 IPS |
|
|
Text Classification (SP)
|
100% |
2472
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
2791
3.73 KIPS |
|
|
Text Classification (Q)
|
97% |
1717
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2950
50.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2652
45.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1583
29.7 IPS |
