Xiaomi 2406APNFAG
Geekbench AI Score
888
Single Precision Score
4077
Half Precision Score
4125
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 11:14 AM |
| 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% |
717
133.3 IPS |
|
|
Image Classification (HP)
|
100% |
3674
683.2 IPS |
|
|
Image Classification (Q)
|
99% |
6843
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
546
8.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
3784
61.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1629
26.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6118
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
15429
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
63722
74.7 IPS |
|
|
Object Detection (SP)
|
100% |
509
40.4 IPS |
|
|
Object Detection (HP)
|
100% |
3840
304.6 IPS |
|
|
Object Detection (Q)
|
86% |
4593
369.5 IPS |
|
|
Face Detection (SP)
|
100% |
2519
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
9552
113.5 IPS |
|
|
Face Detection (Q)
|
97% |
10024
119.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
784
6.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
16891
130.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
27724
263.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2622
3.37 IPS |
|
|
Style Transfer (HP)
|
100% |
577
0.74 IPS |
|
|
Style Transfer (Q)
|
30% |
460
6.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1938
71.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9064
334.7 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
6286
915.5 IPS |
|
|
Text Classification (SP)
|
100% |
85
112.8 IPS |
|
|
Text Classification (HP)
|
100% |
1473
1.97 KIPS |
|
|
Text Classification (Q)
|
93% |
1489
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
296
5.09 IPS |
|
|
Machine Translation (HP)
|
100% |
1241
21.4 IPS |
|
|
Machine Translation (Q)
|
60% |
366
8.24 IPS |
