Xiaomi 2406APNFAG
Geekbench AI Score
681
Single Precision Score
1024
Half Precision Score
773
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 29 2025 08:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
301
56.0 IPS |
|
|
Image Classification (HP)
|
100% |
477
88.7 IPS |
|
|
Image Classification (Q)
|
97% |
421
78.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
845
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1272
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3624
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
6481
7.56 IPS |
|
|
Pose Estimation (Q)
|
95% |
6103
7.15 IPS |
|
|
Object Detection (SP)
|
100% |
314
24.9 IPS |
|
|
Object Detection (HP)
|
99% |
499
39.6 IPS |
|
|
Object Detection (Q)
|
83% |
472
38.1 IPS |
|
|
Face Detection (SP)
|
100% |
1553
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
2248
26.7 IPS |
|
|
Face Detection (Q)
|
96% |
2052
24.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1987
15.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3238
25.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
2346
22.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5676
7.30 IPS |
|
|
Style Transfer (HP)
|
100% |
10493
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
10386
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1019
37.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1322
48.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1462
54.2 IPS |
|
|
Text Classification (SP)
|
35% |
14
124.4 IPS |
|
|
Text Classification (HP)
|
35% |
16
144.7 IPS |
|
|
Text Classification (Q)
|
29% |
8
138.5 IPS |
|
|
Machine Translation (SP)
|
100% |
301
5.18 IPS |
|
|
Machine Translation (HP)
|
100% |
385
6.64 IPS |
|
|
Machine Translation (Q)
|
43% |
85
4.92 IPS |
