Xiaomi 2406APNFAG
Geekbench AI Score
638
Single Precision Score
640
Half Precision Score
1164
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Abdulmohsen |
| Upload Date | December 09 2025 01:13 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% |
306
56.9 IPS |
|
|
Image Classification (HP)
|
100% |
297
55.2 IPS |
|
|
Image Classification (Q)
|
100% |
1141
212.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
423
6.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
446
7.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
769
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1361
1.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
1280
1.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
2934
3.48 IPS |
|
|
Object Detection (SP)
|
98% |
325
25.9 IPS |
|
|
Object Detection (HP)
|
98% |
353
28.1 IPS |
|
|
Object Detection (Q)
|
83% |
692
55.9 IPS |
|
|
Face Detection (SP)
|
100% |
737
8.75 IPS |
|
|
Face Detection (HP)
|
100% |
922
11.0 IPS |
|
|
Face Detection (Q)
|
95% |
1790
21.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
818
6.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
850
6.57 IPS |
|
|
Depth Estimation (Q)
|
64% |
1690
15.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3098
4.02 IPS |
|
|
Style Transfer (HP)
|
89% |
3348
4.35 IPS |
|
|
Style Transfer (Q)
|
98% |
5878
7.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
454
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
451
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1151
42.6 IPS |
|
|
Text Classification (SP)
|
100% |
234
312.8 IPS |
|
|
Text Classification (HP)
|
99% |
175
233.2 IPS |
|
|
Text Classification (Q)
|
88% |
344
464.0 IPS |
|
|
Machine Translation (SP)
|
100% |
999
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (Q)
|
50% |
366
13.0 IPS |
