Xiaomi 2406APNFAG
Geekbench AI Score
1776
Single Precision Score
2162
Half Precision Score
3199
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | March 04 2026 12:37 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1415
263.1 IPS |
|
|
Image Classification (HP)
|
100% |
1238
230.3 IPS |
|
|
Image Classification (Q)
|
99% |
2452
457.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1473
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1413
22.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2742
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2606
3.04 IPS |
|
|
Pose Estimation (HP)
|
92% |
5121
6.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
6359
7.45 IPS |
|
|
Object Detection (SP)
|
98% |
1314
104.6 IPS |
|
|
Object Detection (HP)
|
97% |
1092
86.9 IPS |
|
|
Object Detection (Q)
|
85% |
2074
167.1 IPS |
|
|
Face Detection (SP)
|
100% |
2713
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
3270
38.9 IPS |
|
|
Face Detection (Q)
|
97% |
4985
59.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2251
17.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3963
30.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5088
46.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6407
8.32 IPS |
|
|
Style Transfer (HP)
|
88% |
6614
8.59 IPS |
|
|
Style Transfer (Q)
|
98% |
13289
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1255
46.3 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
2179
81.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3338
123.7 IPS |
|
|
Text Classification (SP)
|
100% |
663
885.3 IPS |
|
|
Text Classification (HP)
|
100% |
961
1.28 KIPS |
|
|
Text Classification (Q)
|
93% |
1171
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1346
23.2 IPS |
|
|
Machine Translation (HP)
|
96% |
1276
22.1 IPS |
|
|
Machine Translation (Q)
|
55% |
963
25.9 IPS |
