Xiaomi 2406APNFAG
Geekbench AI Score
765
Single Precision Score
1058
Half Precision Score
884
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Mark52 |
| Upload Date | April 07 2026 05:48 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
329
61.2 IPS |
|
|
Image Classification (HP)
|
100% |
463
86.0 IPS |
|
|
Image Classification (Q)
|
97% |
419
78.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
999
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1744
28.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1499
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4380
5.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
7474
8.72 IPS |
|
|
Pose Estimation (Q)
|
95% |
7592
8.90 IPS |
|
|
Object Detection (SP)
|
100% |
349
27.7 IPS |
|
|
Object Detection (HP)
|
99% |
580
46.0 IPS |
|
|
Object Detection (Q)
|
83% |
519
41.9 IPS |
|
|
Face Detection (SP)
|
100% |
1664
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
2398
28.5 IPS |
|
|
Face Detection (Q)
|
96% |
2182
26.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2464
19.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3422
26.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
2958
28.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6770
8.70 IPS |
|
|
Style Transfer (HP)
|
100% |
12992
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
12493
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1142
42.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1494
55.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1439
53.3 IPS |
|
|
Text Classification (SP)
|
35% |
14
123.4 IPS |
|
|
Text Classification (HP)
|
29% |
9
147.8 IPS |
|
|
Text Classification (Q)
|
32% |
11
143.9 IPS |
|
|
Machine Translation (SP)
|
100% |
308
5.31 IPS |
|
|
Machine Translation (HP)
|
100% |
351
6.05 IPS |
|
|
Machine Translation (Q)
|
43% |
93
5.42 IPS |
