Xiaomi 2406APNFAG
Geekbench AI Score
883
Single Precision Score
4089
Half Precision Score
4140
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 12:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 11.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
708
131.7 IPS |
|
|
Image Classification (HP)
|
100% |
3713
690.4 IPS |
|
|
Image Classification (Q)
|
99% |
6833
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
545
8.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
3820
61.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1632
26.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6069
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
15472
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
63907
74.9 IPS |
|
|
Object Detection (SP)
|
100% |
505
40.1 IPS |
|
|
Object Detection (HP)
|
100% |
3871
307.1 IPS |
|
|
Object Detection (Q)
|
86% |
4666
375.3 IPS |
|
|
Face Detection (SP)
|
100% |
2539
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
9618
114.3 IPS |
|
|
Face Detection (Q)
|
97% |
10019
119.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
777
5.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
16712
128.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
27662
262.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2593
3.33 IPS |
|
|
Style Transfer (HP)
|
100% |
577
0.74 IPS |
|
|
Style Transfer (Q)
|
30% |
460
6.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1937
71.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9051
334.2 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
6270
913.3 IPS |
|
|
Text Classification (SP)
|
100% |
83
110.9 IPS |
|
|
Text Classification (HP)
|
100% |
1490
1.99 KIPS |
|
|
Text Classification (Q)
|
93% |
1495
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
299
5.14 IPS |
|
|
Machine Translation (HP)
|
100% |
1232
21.2 IPS |
|
|
Machine Translation (Q)
|
60% |
373
8.39 IPS |
