Framework Laptop 13 (AMD Ryzen 7040Series)
Geekbench AI Score
5756
Single Precision Score
5798
Half Precision Score
15638
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | throo |
| Upload Date | February 13 2025 07:35 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7840U w/ Radeon 780M Graphics |
| 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% |
3839
714.0 IPS |
|
|
Image Classification (HP)
|
100% |
3870
719.7 IPS |
|
|
Image Classification (Q)
|
100% |
9850
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3961
64.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4072
66.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9993
162.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7238
8.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
7260
8.47 IPS |
|
|
Pose Estimation (Q)
|
98% |
29013
34.0 IPS |
|
|
Object Detection (SP)
|
100% |
3229
256.1 IPS |
|
|
Object Detection (HP)
|
100% |
3202
254.0 IPS |
|
|
Object Detection (Q)
|
88% |
10330
828.1 IPS |
|
|
Face Detection (SP)
|
100% |
7488
89.0 IPS |
|
|
Face Detection (HP)
|
100% |
7455
88.6 IPS |
|
|
Face Detection (Q)
|
100% |
24875
295.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9294
71.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9378
72.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
26849
208.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19857
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19896
25.6 IPS |
|
|
Style Transfer (Q)
|
98% |
78367
101.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4443
164.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4473
165.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15035
556.8 IPS |
|
|
Text Classification (SP)
|
100% |
3731
4.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3778
5.04 KIPS |
|
|
Text Classification (Q)
|
92% |
5778
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4910
84.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4988
85.9 IPS |
|
|
Machine Translation (Q)
|
100% |
6524
112.4 IPS |
