Xiaomi 2410FPCC5G
Geekbench AI Score
184
Single Precision Score
171
Half Precision Score
314
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 09 2025 09:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 2410FPCC5G |
| Model ID | Xiaomi 2410FPCC5G |
| Motherboard | lake |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
162
30.2 IPS |
|
|
Image Classification (HP)
|
100% |
161
30.0 IPS |
|
|
Image Classification (Q)
|
100% |
445
82.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
183
2.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
194
3.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
570
9.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
704
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
693
0.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
1102
1.31 IPS |
|
|
Object Detection (SP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (HP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (Q)
|
83% |
404
32.6 IPS |
|
|
Face Detection (SP)
|
100% |
405
4.81 IPS |
|
|
Face Detection (HP)
|
100% |
246
2.92 IPS |
|
|
Face Detection (Q)
|
95% |
218
2.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
157
1.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
141
1.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
376
3.44 IPS |
|
|
Style Transfer (SP)
|
89% |
1061
1.38 IPS |
|
|
Style Transfer (HP)
|
89% |
1017
1.32 IPS |
|
|
Style Transfer (Q)
|
98% |
1395
1.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65
2.41 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
60
2.20 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
106
3.93 IPS |
|
|
Text Classification (SP)
|
100% |
20
26.5 IPS |
|
|
Text Classification (HP)
|
100% |
22
28.7 IPS |
|
|
Text Classification (Q)
|
88% |
137
185.1 IPS |
|
|
Machine Translation (SP)
|
100% |
162
2.78 IPS |
|
|
Machine Translation (HP)
|
100% |
141
2.43 IPS |
|
|
Machine Translation (Q)
|
50% |
50
1.77 IPS |
