TECNO Mobile Limited MEGABOOK K16S 13th
Geekbench AI Score
2624
Single Precision Score
3825
Half Precision Score
6042
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | June 24 2025 06:00 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1529
284.3 IPS |
|
|
Image Classification (HP)
|
100% |
2421
450.1 IPS |
|
|
Image Classification (Q)
|
99% |
3822
712.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3808
61.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4685
76.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5345
6.24 IPS |
|
|
Pose Estimation (HP)
|
99% |
3893
4.54 IPS |
|
|
Pose Estimation (Q)
|
97% |
16559
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
99% |
2356
186.9 IPS |
|
|
Object Detection (Q)
|
90% |
3882
310.4 IPS |
|
|
Face Detection (SP)
|
100% |
3209
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6335
75.3 IPS |
|
|
Face Detection (Q)
|
100% |
10132
120.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5580
43.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9496
73.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
12695
98.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13401
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21162
27.2 IPS |
|
|
Style Transfer (Q)
|
98% |
37795
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2298
84.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3709
137.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7406
274.3 IPS |
|
|
Text Classification (SP)
|
71% |
1036
1.50 KIPS |
|
|
Text Classification (HP)
|
71% |
1215
1.76 KIPS |
|
|
Text Classification (Q)
|
92% |
1138
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1385
23.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1376
23.7 IPS |
