Xiaomi 2406APNFAG
Geekbench AI Score
1771
Single Precision Score
1776
Half Precision Score
3040
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 30 2024 04:04 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% |
1367
254.3 IPS |
|
|
Image Classification (HP)
|
100% |
1398
260.0 IPS |
|
|
Image Classification (Q)
|
100% |
2388
444.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1514
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1454
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2360
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2607
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2633
3.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
6219
7.38 IPS |
|
|
Object Detection (SP)
|
98% |
1303
103.7 IPS |
|
|
Object Detection (HP)
|
98% |
1312
104.4 IPS |
|
|
Object Detection (Q)
|
83% |
2069
167.1 IPS |
|
|
Face Detection (SP)
|
100% |
2387
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
2380
28.3 IPS |
|
|
Face Detection (Q)
|
95% |
4901
58.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2368
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2302
17.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5125
46.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6695
8.69 IPS |
|
|
Style Transfer (HP)
|
89% |
6590
8.55 IPS |
|
|
Style Transfer (Q)
|
98% |
13525
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1205
44.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1243
45.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3280
121.5 IPS |
|
|
Text Classification (SP)
|
100% |
698
931.9 IPS |
|
|
Text Classification (HP)
|
99% |
706
942.8 IPS |
|
|
Text Classification (Q)
|
88% |
1241
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1404
24.2 IPS |
|
|
Machine Translation (Q)
|
50% |
674
23.9 IPS |
