Xiaomi 2406APNFAG
Geekbench AI Score
871
Single Precision Score
4077
Half Precision Score
4100
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | extrahacker |
| Upload Date | February 14 2025 11:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
701
130.5 IPS |
|
|
Image Classification (HP)
|
100% |
3634
675.9 IPS |
|
|
Image Classification (Q)
|
99% |
6620
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
541
8.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
3778
61.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1622
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6073
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
15473
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
63787
74.8 IPS |
|
|
Object Detection (SP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (HP)
|
100% |
3877
307.5 IPS |
|
|
Object Detection (Q)
|
86% |
4626
372.1 IPS |
|
|
Face Detection (SP)
|
100% |
2487
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
9946
118.2 IPS |
|
|
Face Detection (Q)
|
97% |
10087
120.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
780
6.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
16824
129.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
27672
262.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2551
3.28 IPS |
|
|
Style Transfer (HP)
|
100% |
578
0.74 IPS |
|
|
Style Transfer (Q)
|
30% |
466
7.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1905
70.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9060
334.5 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
6238
908.5 IPS |
|
|
Text Classification (SP)
|
100% |
81
107.6 IPS |
|
|
Text Classification (HP)
|
100% |
1430
1.91 KIPS |
|
|
Text Classification (Q)
|
93% |
1425
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
289
4.98 IPS |
|
|
Machine Translation (HP)
|
100% |
1230
21.2 IPS |
|
|
Machine Translation (Q)
|
60% |
367
8.26 IPS |
