TECNO Mobile Limited MEGABOOK K16S 13th
Geekbench AI Score
1832
Single Precision Score
1937
Half Precision Score
1223
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | iClondike |
| Upload Date | June 24 2025 06:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
822
152.8 IPS |
|
|
Image Classification (HP)
|
100% |
846
157.3 IPS |
|
|
Image Classification (Q)
|
100% |
693
128.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1105
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
835
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5724
6.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
7185
8.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
3801
4.45 IPS |
|
|
Object Detection (SP)
|
100% |
905
71.8 IPS |
|
|
Object Detection (HP)
|
98% |
805
64.0 IPS |
|
|
Object Detection (Q)
|
86% |
781
62.8 IPS |
|
|
Face Detection (SP)
|
100% |
1533
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
2053
24.4 IPS |
|
|
Face Detection (Q)
|
97% |
1168
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3549
27.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4066
31.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
2599
20.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13256
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18015
23.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8854
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2156
79.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2817
104.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1025
38.0 IPS |
|
|
Text Classification (SP)
|
100% |
820
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
400
534.5 IPS |
|
|
Text Classification (Q)
|
97% |
419
561.4 IPS |
|
|
Machine Translation (SP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (Q)
|
70% |
378
7.09 IPS |
