TECNO Mobile Limited MEGABOOK K16S 13th
Geekbench AI Score
2644
Single Precision Score
2618
Half Precision Score
6293
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | June 24 2025 05:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
1602
297.9 IPS |
|
|
Image Classification (HP)
|
100% |
1623
301.8 IPS |
|
|
Image Classification (Q)
|
100% |
4202
781.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1708
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1794
29.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3707
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3260
3.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
2964
3.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
11950
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (Q)
|
88% |
4177
334.8 IPS |
|
|
Face Detection (SP)
|
100% |
2990
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
2926
34.8 IPS |
|
|
Face Detection (Q)
|
100% |
5718
67.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4246
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4187
32.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
10372
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9173
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9111
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
32283
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1894
69.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1887
69.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6717
248.7 IPS |
|
|
Text Classification (SP)
|
100% |
1895
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1916
2.56 KIPS |
|
|
Text Classification (Q)
|
92% |
3479
4.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2847
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2787
48.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2801
48.3 IPS |
