Xiaomi 2510DRK44C
Geekbench ML Score
1756
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 05 2026 06:39 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 2510DRK44C |
| Model ID | Xiaomi 2510DRK44C |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1039
194.3 IPS |
|
|
Image Classification (F16)
|
100% |
1104
206.7 IPS |
|
|
Image Classification (I8)
|
97% |
1756
328.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1439
24.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1408
23.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1505
25.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
1990
2.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
1932
2.34 IPS |
|
|
Pose Estimation (I8)
|
100% |
8387
10.2 IPS |
|
|
Object Detection (F32)
|
100% |
1075
80.3 IPS |
|
|
Object Detection (F16)
|
100% |
1087
81.1 IPS |
|
|
Object Detection (I8)
|
61% |
1879
140.3 IPS |
|
|
Face Detection (F32)
|
100% |
2374
28.2 IPS |
|
|
Face Detection (F16)
|
100% |
2380
28.3 IPS |
|
|
Face Detection (I8)
|
86% |
3913
46.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2257
17.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2209
17.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
3565
27.6 IPS |
|
|
Style Transfer (F32)
|
100% |
3177
4.18 IPS |
|
|
Style Transfer (F16)
|
100% |
2967
3.90 IPS |
|
|
Style Transfer (I8)
|
98% |
7750
10.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1029
36.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1049
37.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2513
89.7 IPS |
|
|
Text Classification (F32)
|
100% |
793
1.14 KIPS |
|
|
Text Classification (F16)
|
100% |
707
1.02 KIPS |
|
|
Text Classification (I8)
|
92% |
627
901.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1642
30.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1575
29.0 IPS |
|
|
Machine Translation (I8)
|
64% |
712
13.1 IPS |
