Xiaomi 2509FPN0BC
Geekbench AI Score
2570
Single Precision Score
3794
Half Precision Score
3222
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | onion83 |
| Upload Date | September 29 2025 10:30 AM |
| Views | 7 |
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 | 10.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1468
273.1 IPS |
|
|
Image Classification (HP)
|
100% |
2105
391.5 IPS |
|
|
Image Classification (Q)
|
100% |
2024
376.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3463
56.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5264
85.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4709
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12573
14.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
22629
26.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
22298
26.1 IPS |
|
|
Object Detection (SP)
|
100% |
1376
109.1 IPS |
|
|
Object Detection (HP)
|
99% |
1809
143.5 IPS |
|
|
Object Detection (Q)
|
85% |
1718
138.3 IPS |
|
|
Face Detection (SP)
|
100% |
4778
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
7256
86.2 IPS |
|
|
Face Detection (Q)
|
97% |
6581
78.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6474
49.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
8789
67.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
6855
66.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15447
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33565
43.1 IPS |
|
|
Style Transfer (Q)
|
98% |
33135
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3362
124.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4906
181.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4869
180.5 IPS |
|
|
Text Classification (SP)
|
35% |
84
822.4 IPS |
|
|
Text Classification (HP)
|
35% |
76
691.3 IPS |
|
|
Text Classification (Q)
|
33% |
68
765.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1063
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1708
29.4 IPS |
|
|
Machine Translation (Q)
|
48% |
668
25.6 IPS |
