Xiaomi 2406APNFAG
Geekbench AI Score
1852
Single Precision Score
1844
Half Precision Score
3086
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 10:57 AM |
| 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% |
1429
265.8 IPS |
|
|
Image Classification (HP)
|
100% |
1421
264.3 IPS |
|
|
Image Classification (Q)
|
100% |
2355
438.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1521
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2553
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2726
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2701
3.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
6536
7.75 IPS |
|
|
Object Detection (SP)
|
98% |
1326
105.6 IPS |
|
|
Object Detection (HP)
|
98% |
1312
104.4 IPS |
|
|
Object Detection (Q)
|
83% |
2163
174.7 IPS |
|
|
Face Detection (SP)
|
100% |
2772
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
2753
32.7 IPS |
|
|
Face Detection (Q)
|
95% |
5117
61.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2576
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2553
19.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5133
47.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6947
9.02 IPS |
|
|
Style Transfer (HP)
|
89% |
6750
8.76 IPS |
|
|
Style Transfer (Q)
|
98% |
12643
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1194
44.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1267
46.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3184
118.0 IPS |
|
|
Text Classification (SP)
|
100% |
672
897.6 IPS |
|
|
Text Classification (HP)
|
99% |
669
892.9 IPS |
|
|
Text Classification (Q)
|
88% |
1208
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1514
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1476
25.4 IPS |
|
|
Machine Translation (Q)
|
50% |
723
25.7 IPS |
