Xiaomi 2406APNFAG
Geekbench AI Score
1704
Single Precision Score
1706
Half Precision Score
2947
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 07:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1290
239.9 IPS |
|
|
Image Classification (HP)
|
100% |
1310
243.7 IPS |
|
|
Image Classification (Q)
|
100% |
2226
414.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2373
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2502
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2493
2.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
6032
7.15 IPS |
|
|
Object Detection (SP)
|
98% |
1226
97.6 IPS |
|
|
Object Detection (HP)
|
98% |
1240
98.7 IPS |
|
|
Object Detection (Q)
|
83% |
2012
162.5 IPS |
|
|
Face Detection (SP)
|
100% |
2477
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
2487
29.5 IPS |
|
|
Face Detection (Q)
|
95% |
4796
57.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2256
17.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2409
18.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4855
44.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6101
7.92 IPS |
|
|
Style Transfer (HP)
|
89% |
6062
7.87 IPS |
|
|
Style Transfer (Q)
|
98% |
12755
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1176
43.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1170
43.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3077
114.0 IPS |
|
|
Text Classification (SP)
|
100% |
651
869.2 IPS |
|
|
Text Classification (HP)
|
99% |
646
862.1 IPS |
|
|
Text Classification (Q)
|
88% |
1207
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1412
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1378
23.7 IPS |
|
|
Machine Translation (Q)
|
50% |
701
24.9 IPS |
