Xiaomi 2406APNFAG
Geekbench AI Score
1739
Single Precision Score
1763
Half Precision Score
2963
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 17 2025 03:15 PM |
| Views | 1 |
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% |
1191
221.5 IPS |
|
|
Image Classification (HP)
|
100% |
1392
258.8 IPS |
|
|
Image Classification (Q)
|
100% |
2470
459.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1452
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1511
24.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2466
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2587
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2511
2.93 IPS |
|
|
Pose Estimation (Q)
|
84% |
6485
7.69 IPS |
|
|
Object Detection (SP)
|
98% |
1298
103.3 IPS |
|
|
Object Detection (HP)
|
98% |
1220
97.1 IPS |
|
|
Object Detection (Q)
|
83% |
2160
174.5 IPS |
|
|
Face Detection (SP)
|
100% |
2517
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
2385
28.3 IPS |
|
|
Face Detection (Q)
|
95% |
3772
45.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2277
17.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2525
19.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5153
47.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6521
8.47 IPS |
|
|
Style Transfer (HP)
|
89% |
6290
8.17 IPS |
|
|
Style Transfer (Q)
|
98% |
10769
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1252
46.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1260
46.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3524
130.6 IPS |
|
|
Text Classification (SP)
|
100% |
719
959.3 IPS |
|
|
Text Classification (HP)
|
99% |
739
987.0 IPS |
|
|
Text Classification (Q)
|
88% |
1284
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1296
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1280
22.1 IPS |
|
|
Machine Translation (Q)
|
50% |
647
23.0 IPS |
