Xiaomi 2509ARPBDG
Geekbench AI Score
1103
Single Precision Score
1090
Half Precision Score
1707
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 07 2025 04:32 PM |
| Views | 43 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2509ARPBDG |
| Model ID | Xiaomi 2509ARPBDG |
| Motherboard | volcano |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.71 GHz |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
668
124.1 IPS |
|
|
Image Classification (HP)
|
100% |
932
173.3 IPS |
|
|
Image Classification (Q)
|
100% |
880
163.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
853
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
849
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1197
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2029
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2019
2.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
5589
6.63 IPS |
|
|
Object Detection (SP)
|
98% |
913
72.6 IPS |
|
|
Object Detection (HP)
|
98% |
716
57.0 IPS |
|
|
Object Detection (Q)
|
83% |
916
74.0 IPS |
|
|
Face Detection (SP)
|
100% |
734
8.72 IPS |
|
|
Face Detection (HP)
|
100% |
1275
15.2 IPS |
|
|
Face Detection (Q)
|
95% |
1844
22.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1723
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1582
12.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4674
42.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4735
6.15 IPS |
|
|
Style Transfer (HP)
|
89% |
4735
6.15 IPS |
|
|
Style Transfer (Q)
|
98% |
12434
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
846
31.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
847
31.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1230
45.6 IPS |
|
|
Text Classification (SP)
|
100% |
534
712.3 IPS |
|
|
Text Classification (HP)
|
99% |
278
370.9 IPS |
|
|
Text Classification (Q)
|
88% |
566
763.2 IPS |
|
|
Machine Translation (SP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
927
16.0 IPS |
|
|
Machine Translation (Q)
|
50% |
523
18.6 IPS |
