Framework Laptop 13 (AMD Ryzen 7040Series)
Geekbench AI Score
5046
Single Precision Score
5239
Half Precision Score
15152
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | BrianG61UK |
| Upload Date | June 16 2025 02:20 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 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3585
666.7 IPS |
|
|
Image Classification (HP)
|
100% |
3599
669.2 IPS |
|
|
Image Classification (Q)
|
100% |
10348
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2603
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3591
58.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10425
169.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6698
7.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
6710
7.83 IPS |
|
|
Pose Estimation (Q)
|
98% |
26737
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
2816
223.4 IPS |
|
|
Object Detection (HP)
|
100% |
3001
238.1 IPS |
|
|
Object Detection (Q)
|
88% |
10661
854.6 IPS |
|
|
Face Detection (SP)
|
100% |
5734
68.1 IPS |
|
|
Face Detection (HP)
|
100% |
5880
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
24600
292.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8493
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8196
63.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
25242
196.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18075
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18197
23.4 IPS |
|
|
Style Transfer (Q)
|
98% |
71337
92.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3946
145.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3892
143.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13892
514.5 IPS |
|
|
Text Classification (SP)
|
100% |
3559
4.75 KIPS |
|
|
Text Classification (HP)
|
100% |
3576
4.77 KIPS |
|
|
Text Classification (Q)
|
92% |
5381
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4922
84.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4906
84.5 IPS |
|
|
Machine Translation (Q)
|
100% |
6265
107.9 IPS |
