Framework Laptop 13 (AMD Ryzen 7040Series)
Geekbench AI Score
3240
Single Precision Score
1434
Half Precision Score
6325
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | BrianG61UK |
| Upload Date | June 16 2025 02:16 PM |
| Views | 6 |
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 |
| 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% |
2982
554.5 IPS |
|
|
Image Classification (HP)
|
100% |
570
106.0 IPS |
|
|
Image Classification (Q)
|
99% |
7648
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1146
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
736
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3444
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5181
6.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
4251
4.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
19251
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
2879
228.4 IPS |
|
|
Object Detection (HP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (Q)
|
86% |
7013
563.6 IPS |
|
|
Face Detection (SP)
|
100% |
4463
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
1482
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
9432
112.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7207
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2161
16.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
7821
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12336
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11342
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
21556
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2207
81.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1861
68.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3222
119.3 IPS |
|
|
Text Classification (SP)
|
100% |
1446
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
682
910.9 IPS |
|
|
Text Classification (Q)
|
97% |
1718
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1978
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
682
11.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3274
65.8 IPS |
