Xiaomi 2509FPN0BC
Geekbench AI Score
339
Single Precision Score
305
Half Precision Score
773
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | onion83 |
| Upload Date | September 29 2025 10:45 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 10.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
212
39.4 IPS |
|
|
Image Classification (HP)
|
100% |
153
28.4 IPS |
|
|
Image Classification (Q)
|
99% |
518
96.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
279
4.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
205
3.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
429
6.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
277
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
278
0.32 IPS |
|
|
Pose Estimation (Q)
|
98% |
1317
1.54 IPS |
|
|
Object Detection (SP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (Q)
|
87% |
445
35.7 IPS |
|
|
Face Detection (SP)
|
100% |
421
5.00 IPS |
|
|
Face Detection (HP)
|
100% |
423
5.03 IPS |
|
|
Face Detection (Q)
|
97% |
932
11.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
360
2.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
362
2.79 IPS |
|
|
Depth Estimation (Q)
|
64% |
1497
13.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1034
1.33 IPS |
|
|
Style Transfer (HP)
|
100% |
664
0.85 IPS |
|
|
Style Transfer (Q)
|
98% |
1853
2.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
181
6.68 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
181
6.67 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
626
23.2 IPS |
|
|
Text Classification (SP)
|
100% |
409
545.9 IPS |
|
|
Text Classification (HP)
|
100% |
409
546.4 IPS |
|
|
Text Classification (Q)
|
91% |
658
884.2 IPS |
|
|
Machine Translation (SP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (Q)
|
57% |
550
13.4 IPS |
