Framework Laptop 16 (AMD Ryzen 7040 Series)
Geekbench AI Score
5049
Single Precision Score
4855
Half Precision Score
13434
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JunkIce |
| Upload Date | July 29 2025 10:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS w/ Radeon 780M Graphics |
| 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% |
3582
666.1 IPS |
|
|
Image Classification (HP)
|
100% |
3255
605.3 IPS |
|
|
Image Classification (Q)
|
100% |
10998
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3570
57.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3322
53.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9211
149.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6310
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
6197
7.23 IPS |
|
|
Pose Estimation (Q)
|
98% |
24755
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
2814
223.2 IPS |
|
|
Object Detection (HP)
|
100% |
2874
228.0 IPS |
|
|
Object Detection (Q)
|
88% |
8018
642.7 IPS |
|
|
Face Detection (SP)
|
100% |
6859
81.5 IPS |
|
|
Face Detection (HP)
|
100% |
6944
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
21520
255.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7532
58.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6431
49.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
18670
145.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17094
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15730
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
65514
84.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3692
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3523
130.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12413
459.7 IPS |
|
|
Text Classification (SP)
|
100% |
3119
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3215
4.29 KIPS |
|
|
Text Classification (Q)
|
92% |
4678
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4671
80.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4755
81.9 IPS |
|
|
Machine Translation (Q)
|
100% |
6230
107.3 IPS |
