Xiaomi 2406APNFAG
Geekbench AI Score
1624
Single Precision Score
1615
Half Precision Score
2574
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 24 2024 10:50 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% |
1358
252.5 IPS |
|
|
Image Classification (HP)
|
100% |
1397
259.8 IPS |
|
|
Image Classification (Q)
|
100% |
2317
430.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1492
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1477
23.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2514
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2603
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2453
2.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
2517
2.99 IPS |
|
|
Object Detection (SP)
|
98% |
931
74.1 IPS |
|
|
Object Detection (HP)
|
98% |
979
77.9 IPS |
|
|
Object Detection (Q)
|
83% |
1869
151.0 IPS |
|
|
Face Detection (SP)
|
100% |
2262
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
2222
26.4 IPS |
|
|
Face Detection (Q)
|
95% |
3940
47.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1988
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1991
15.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4539
41.6 IPS |
|
|
Style Transfer (SP)
|
89% |
5762
7.48 IPS |
|
|
Style Transfer (HP)
|
89% |
5820
7.56 IPS |
|
|
Style Transfer (Q)
|
98% |
11884
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1108
40.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1126
41.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2937
108.8 IPS |
|
|
Text Classification (SP)
|
100% |
632
843.0 IPS |
|
|
Text Classification (HP)
|
99% |
620
828.0 IPS |
|
|
Text Classification (Q)
|
88% |
1161
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1434
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1356
23.4 IPS |
|
|
Machine Translation (Q)
|
50% |
645
22.9 IPS |
