FEC MTKXX-X15XSeries
Geekbench AI Score
465
Single Precision Score
448
Half Precision Score
883
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 28 2026 03:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | FEC MTKXX-X15XSeries |
| Model ID | FEC MTKXX-X15XSeries |
| Motherboard | MTKXX-X15XSeries |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
124
23.0 IPS |
|
|
Image Classification (HP)
|
100% |
110
20.5 IPS |
|
|
Image Classification (Q)
|
100% |
350
65.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
258
4.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
249
4.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
685
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
962
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1017
1.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
1499
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
187
14.9 IPS |
|
|
Object Detection (HP)
|
100% |
183
14.5 IPS |
|
|
Object Detection (Q)
|
83% |
531
42.9 IPS |
|
|
Face Detection (SP)
|
100% |
622
7.39 IPS |
|
|
Face Detection (HP)
|
100% |
535
6.36 IPS |
|
|
Face Detection (Q)
|
95% |
1201
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
833
6.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
894
6.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
1432
13.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1830
2.37 IPS |
|
|
Style Transfer (HP)
|
89% |
1774
2.30 IPS |
|
|
Style Transfer (Q)
|
98% |
3804
4.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
635
23.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
564
20.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
958
35.5 IPS |
|
|
Text Classification (SP)
|
100% |
302
403.3 IPS |
|
|
Text Classification (HP)
|
100% |
300
399.9 IPS |
|
|
Text Classification (Q)
|
88% |
619
835.3 IPS |
|
|
Machine Translation (SP)
|
100% |
456
7.86 IPS |
|
|
Machine Translation (HP)
|
100% |
453
7.80 IPS |
|
|
Machine Translation (Q)
|
50% |
390
13.9 IPS |
