TECNO Mobile Limited MEGABOOK K16S 13th
Geekbench AI Score
2036
Single Precision Score
967
Half Precision Score
3915
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | June 24 2025 05:53 AM |
| Views | 7 |
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% |
1580
293.9 IPS |
|
|
Image Classification (HP)
|
100% |
367
68.3 IPS |
|
|
Image Classification (Q)
|
99% |
3436
640.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
916
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
624
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2284
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3186
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2346
2.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
11176
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1528
121.2 IPS |
|
|
Object Detection (HP)
|
100% |
460
36.5 IPS |
|
|
Object Detection (Q)
|
86% |
3535
284.1 IPS |
|
|
Face Detection (SP)
|
100% |
2598
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
967
11.5 IPS |
|
|
Face Detection (Q)
|
97% |
5472
65.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4288
33.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1468
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
8340
66.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7565
9.72 IPS |
|
|
Style Transfer (HP)
|
100% |
6070
7.80 IPS |
|
|
Style Transfer (Q)
|
98% |
10337
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1463
54.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1284
47.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2351
87.1 IPS |
|
|
Text Classification (SP)
|
100% |
1106
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
522
696.7 IPS |
|
|
Text Classification (Q)
|
97% |
1344
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
506
8.71 IPS |
|
|
Machine Translation (Q)
|
65% |
1833
36.8 IPS |
