Xiaomi 2509FPN0BC
Geekbench AI Score
2273
Single Precision Score
3434
Half Precision Score
2915
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 05 2025 09:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 2509FPN0BC |
| Model ID | Xiaomi 2509FPN0BC |
| Motherboard | canoe |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 2 revision 1 |
| Base Frequency | 3.63 GHz |
| Cluster 1 | 6 Cores @ 3.63 GHz |
| Cluster 2 | 2 Cores @ 4.61 GHz |
| Memory Information | |
|---|---|
| Size | 14.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1459
271.3 IPS |
|
|
Image Classification (HP)
|
100% |
1931
359.1 IPS |
|
|
Image Classification (Q)
|
100% |
1781
331.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2890
46.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4650
75.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4494
73.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10822
12.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
19645
22.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
19464
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
1305
103.5 IPS |
|
|
Object Detection (HP)
|
99% |
1694
134.4 IPS |
|
|
Object Detection (Q)
|
85% |
1613
129.9 IPS |
|
|
Face Detection (SP)
|
100% |
4803
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
9213
109.5 IPS |
|
|
Face Detection (Q)
|
97% |
8206
97.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5677
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
7809
60.4 IPS |
|
|
Depth Estimation (Q)
|
61% |
6151
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13452
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29483
37.9 IPS |
|
|
Style Transfer (Q)
|
98% |
29154
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2979
110.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4524
167.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4644
172.1 IPS |
|
|
Text Classification (SP)
|
35% |
59
573.2 IPS |
|
|
Text Classification (HP)
|
35% |
61
557.5 IPS |
|
|
Text Classification (Q)
|
33% |
48
532.3 IPS |
|
|
Machine Translation (SP)
|
100% |
960
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1304
22.5 IPS |
|
|
Machine Translation (Q)
|
48% |
538
20.6 IPS |
