TECNO Mobile Limited MEGABOOK K16S 13th
Geekbench AI Score
2025
Single Precision Score
974
Half Precision Score
3965
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | iClondike |
| Upload Date | June 24 2025 06:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13420H |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | TECNO Mobile Limited MEGABOOK K16S 13th |
| Motherboard | Default string MEGABOOK K16S 13th |
| Power Plan | Balanced Mode |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13420H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1454
270.3 IPS |
|
|
Image Classification (HP)
|
100% |
383
71.3 IPS |
|
|
Image Classification (Q)
|
99% |
3436
640.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
900
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
615
9.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
2261
36.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3190
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2319
2.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
11368
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1523
120.8 IPS |
|
|
Object Detection (HP)
|
100% |
466
37.0 IPS |
|
|
Object Detection (Q)
|
86% |
3530
283.7 IPS |
|
|
Face Detection (SP)
|
100% |
2633
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
964
11.5 IPS |
|
|
Face Detection (Q)
|
97% |
5459
65.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4309
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1475
11.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
8399
67.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7682
9.88 IPS |
|
|
Style Transfer (HP)
|
100% |
6181
7.95 IPS |
|
|
Style Transfer (Q)
|
98% |
10324
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1489
55.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1281
47.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2648
98.0 IPS |
|
|
Text Classification (SP)
|
100% |
1104
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
518
691.4 IPS |
|
|
Text Classification (Q)
|
97% |
1322
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1276
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
519
8.94 IPS |
|
|
Machine Translation (Q)
|
65% |
1860
37.4 IPS |
