TECNO Mobile Limited MEGABOOK K16SDA
Geekbench AI Score
1536
Single Precision Score
725
Half Precision Score
2316
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 12 2025 11:26 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800U |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | TECNO Mobile Limited MEGABOOK K16SDA |
| Motherboard | Default string MEGABOOK K16SDA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1228
228.3 IPS |
|
|
Image Classification (HP)
|
100% |
297
55.2 IPS |
|
|
Image Classification (Q)
|
96% |
3025
564.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
728
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
440
7.13 IPS |
|
|
Image Segmentation (Q)
|
97% |
1280
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2551
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2092
2.44 IPS |
|
|
Pose Estimation (Q)
|
86% |
7438
8.79 IPS |
|
|
Object Detection (SP)
|
100% |
1179
93.5 IPS |
|
|
Object Detection (HP)
|
100% |
350
27.7 IPS |
|
|
Object Detection (Q)
|
58% |
1572
171.8 IPS |
|
|
Face Detection (SP)
|
100% |
1668
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
702
8.34 IPS |
|
|
Face Detection (Q)
|
96% |
3540
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3659
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1123
8.66 IPS |
|
|
Depth Estimation (Q)
|
78% |
5522
44.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6247
8.03 IPS |
|
|
Style Transfer (HP)
|
100% |
5285
6.79 IPS |
|
|
Style Transfer (Q)
|
87% |
7702
10.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1062
39.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
916
33.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1555
57.6 IPS |
|
|
Text Classification (SP)
|
100% |
765
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
338
451.2 IPS |
|
|
Text Classification (Q)
|
97% |
342
458.7 IPS |
|
|
Machine Translation (SP)
|
100% |
880
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
328
5.65 IPS |
|
|
Machine Translation (Q)
|
68% |
1226
23.7 IPS |
