Framework Laptop 13 (AMD Ryzen 7040Series)
Geekbench AI Score
2749
Single Precision Score
1285
Half Precision Score
4288
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | theofficialgman |
| Upload Date | January 09 2025 02:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7640U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Framework Laptop 13 (AMD Ryzen 7040Series) |
| Motherboard | Framework FRANMDCP05 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7640U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1902
353.7 IPS |
|
|
Image Classification (HP)
|
100% |
502
93.4 IPS |
|
|
Image Classification (Q)
|
99% |
6295
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1228
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2041
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4121
4.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
3349
3.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
16208
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2158
171.2 IPS |
|
|
Object Detection (HP)
|
100% |
646
51.2 IPS |
|
|
Object Detection (Q)
|
86% |
4675
375.7 IPS |
|
|
Face Detection (SP)
|
100% |
4304
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
1348
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
8000
95.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6204
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2038
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
6184
49.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10200
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7997
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
19222
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1650
60.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1741
64.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2819
104.4 IPS |
|
|
Text Classification (SP)
|
100% |
1572
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
687
916.5 IPS |
|
|
Text Classification (Q)
|
97% |
389
521.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1682
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
636
11.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2074
41.7 IPS |
