Xiaomi 2406APNFAG
Geekbench AI Score
903
Single Precision Score
4433
Half Precision Score
4445
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Mark52 |
| Upload Date | April 07 2026 05:57 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
707
131.4 IPS |
|
|
Image Classification (HP)
|
100% |
3948
734.3 IPS |
|
|
Image Classification (Q)
|
99% |
7149
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
577
9.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
4081
66.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1796
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6076
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
17607
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
72786
85.3 IPS |
|
|
Object Detection (SP)
|
100% |
554
43.9 IPS |
|
|
Object Detection (HP)
|
100% |
4183
331.8 IPS |
|
|
Object Detection (Q)
|
86% |
4875
392.2 IPS |
|
|
Face Detection (SP)
|
100% |
2522
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
10313
122.5 IPS |
|
|
Face Detection (Q)
|
97% |
11118
132.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
810
6.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
18752
144.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
30640
291.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2678
3.44 IPS |
|
|
Style Transfer (HP)
|
100% |
647
0.83 IPS |
|
|
Style Transfer (Q)
|
30% |
502
7.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1924
71.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10085
372.4 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
6661
970.1 IPS |
|
|
Text Classification (SP)
|
100% |
84
112.6 IPS |
|
|
Text Classification (HP)
|
100% |
1493
1.99 KIPS |
|
|
Text Classification (Q)
|
93% |
1494
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
298
5.12 IPS |
|
|
Machine Translation (HP)
|
100% |
1313
22.6 IPS |
|
|
Machine Translation (Q)
|
60% |
389
8.77 IPS |
