TECNO Mobile Limited MEGABOOK T15DA
Geekbench AI Score
1363
Single Precision Score
711
Half Precision Score
2313
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 06:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5560U |
| System Information | |
|---|---|
| Operating System | Windows 10 LTSC (64-bit) |
| Model | TECNO Mobile Limited MEGABOOK T15DA |
| Motherboard | Default string MEGABOOK T15DA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5560U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
973
180.9 IPS |
|
|
Image Classification (HP)
|
100% |
290
54.0 IPS |
|
|
Image Classification (Q)
|
96% |
2266
423.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
646
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
361
5.85 IPS |
|
|
Image Segmentation (Q)
|
97% |
1640
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2014
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1694
1.98 IPS |
|
|
Pose Estimation (Q)
|
86% |
5797
6.85 IPS |
|
|
Object Detection (SP)
|
100% |
926
73.4 IPS |
|
|
Object Detection (HP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (Q)
|
58% |
1469
160.5 IPS |
|
|
Face Detection (SP)
|
100% |
1924
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
742
8.82 IPS |
|
|
Face Detection (Q)
|
96% |
3859
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2617
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1037
7.99 IPS |
|
|
Depth Estimation (Q)
|
78% |
5113
40.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5037
6.48 IPS |
|
|
Style Transfer (HP)
|
100% |
4087
5.25 IPS |
|
|
Style Transfer (Q)
|
87% |
8553
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
908
33.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
809
29.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2110
78.2 IPS |
|
|
Text Classification (SP)
|
100% |
846
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
479
639.0 IPS |
|
|
Text Classification (Q)
|
97% |
292
391.5 IPS |
|
|
Machine Translation (SP)
|
100% |
972
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
432
7.44 IPS |
|
|
Machine Translation (Q)
|
68% |
1334
25.8 IPS |
