FEC MTKXX-X15XSeries
Geekbench AI Score
380
Single Precision Score
603
Half Precision Score
481
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 28 2026 04:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
211
39.2 IPS |
|
|
Image Classification (HP)
|
100% |
236
43.8 IPS |
|
|
Image Classification (Q)
|
97% |
225
42.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
367
5.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
749
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
560
9.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
1678
1.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
3114
3.63 IPS |
|
|
Pose Estimation (Q)
|
95% |
3072
3.60 IPS |
|
|
Object Detection (SP)
|
100% |
231
18.4 IPS |
|
|
Object Detection (HP)
|
99% |
400
31.7 IPS |
|
|
Object Detection (Q)
|
83% |
346
27.9 IPS |
|
|
Face Detection (SP)
|
100% |
862
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
1399
16.6 IPS |
|
|
Face Detection (Q)
|
96% |
1191
14.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1026
7.91 IPS |
|
|
Depth Estimation (HP)
|
98% |
2071
16.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
1529
14.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2830
3.64 IPS |
|
|
Style Transfer (HP)
|
100% |
6029
7.75 IPS |
|
|
Style Transfer (Q)
|
98% |
5934
7.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
622
23.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1195
44.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1016
37.7 IPS |
|
|
Text Classification (SP)
|
35% |
8
69.7 IPS |
|
|
Text Classification (HP)
|
29% |
6
103.6 IPS |
|
|
Text Classification (Q)
|
32% |
8
102.3 IPS |
|
|
Machine Translation (SP)
|
100% |
169
2.91 IPS |
|
|
Machine Translation (HP)
|
100% |
233
4.02 IPS |
|
|
Machine Translation (Q)
|
43% |
57
3.33 IPS |
