Xiaomi 2406APNFAG
Geekbench AI Score
1483
Single Precision Score
1494
Half Precision Score
2396
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 11 2025 11:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2406APNFAG |
| Model ID | Xiaomi 2406APNFAG |
| Motherboard | degas |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 2.20 GHz |
| Cluster 2 | 3 Cores @ 3.20 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1119
208.1 IPS |
|
|
Image Classification (HP)
|
100% |
1113
207.1 IPS |
|
|
Image Classification (Q)
|
100% |
1761
327.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1223
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1207
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1790
29.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2156
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2160
2.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
5332
6.32 IPS |
|
|
Object Detection (SP)
|
98% |
1087
86.5 IPS |
|
|
Object Detection (HP)
|
98% |
1090
86.7 IPS |
|
|
Object Detection (Q)
|
83% |
1603
129.5 IPS |
|
|
Face Detection (SP)
|
100% |
2239
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
2269
27.0 IPS |
|
|
Face Detection (Q)
|
95% |
3885
46.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2092
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2169
16.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3977
36.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5481
7.11 IPS |
|
|
Style Transfer (HP)
|
89% |
5501
7.14 IPS |
|
|
Style Transfer (Q)
|
98% |
11123
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1015
37.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1009
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2607
96.6 IPS |
|
|
Text Classification (SP)
|
100% |
539
719.4 IPS |
|
|
Text Classification (HP)
|
99% |
541
722.3 IPS |
|
|
Text Classification (Q)
|
88% |
953
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1146
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1186
20.4 IPS |
|
|
Machine Translation (Q)
|
50% |
544
19.3 IPS |
