Xiaomi 2406APNFAG
Geekbench AI Score
1545
Single Precision Score
1541
Half Precision Score
2467
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 06 2025 02:16 AM |
| Views | 2 |
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% |
1207
224.5 IPS |
|
|
Image Classification (HP)
|
100% |
1220
226.9 IPS |
|
|
Image Classification (Q)
|
100% |
2002
372.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1356
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1360
22.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2013
32.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2350
2.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
2356
2.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
5266
6.25 IPS |
|
|
Object Detection (SP)
|
98% |
1106
88.0 IPS |
|
|
Object Detection (HP)
|
98% |
1076
85.6 IPS |
|
|
Object Detection (Q)
|
83% |
1655
133.7 IPS |
|
|
Face Detection (SP)
|
100% |
2335
27.7 IPS |
|
|
Face Detection (HP)
|
100% |
2307
27.4 IPS |
|
|
Face Detection (Q)
|
95% |
3809
45.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2033
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2064
15.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4034
36.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5545
7.20 IPS |
|
|
Style Transfer (HP)
|
89% |
5629
7.31 IPS |
|
|
Style Transfer (Q)
|
98% |
11188
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1040
38.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1016
37.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2593
96.1 IPS |
|
|
Text Classification (SP)
|
100% |
546
728.5 IPS |
|
|
Text Classification (HP)
|
99% |
546
728.2 IPS |
|
|
Text Classification (Q)
|
88% |
969
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1225
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1209
20.8 IPS |
|
|
Machine Translation (Q)
|
50% |
551
19.6 IPS |
