5G 13mini
Geekbench ML Score
174
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | February 09 2026 04:43 AM |
| Views | 19 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | 5G 13mini |
| Model ID | 5G 13mini |
| Motherboard | yk801_ums5121h10 |
| CPU Information | |
|---|---|
| Name | ARM T |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.64 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
108
11.5 IPS |
|
|
Image Classification (F16)
|
100% |
107
11.4 IPS |
|
|
Image Classification (I8)
|
81% |
206
22.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
235
1.45 IPS |
|
|
Image Segmentation (F16)
|
100% |
235
1.45 IPS |
|
|
Image Segmentation (I8)
|
89% |
538
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
86
0.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
85
0.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
131
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
181
6.35 IPS |
|
|
Object Detection (F16)
|
100% |
181
6.34 IPS |
|
|
Object Detection (I8)
|
52% |
381
13.4 IPS |
|
|
Face Detection (F32)
|
100% |
214
2.45 IPS |
|
|
Face Detection (F16)
|
100% |
214
2.46 IPS |
|
|
Face Detection (I8)
|
75% |
392
4.50 IPS |
|
|
Text Classification (F32)
|
100% |
147
58.0 IPS |
|
|
Text Classification (F16)
|
100% |
146
57.8 IPS |
|
|
Machine Translation (F32)
|
100% |
115
17.7 IPS |
|
|
Machine Translation (F16)
|
100% |
108
16.6 IPS |
