Xiaomi 2406APNFAG
Geekbench AI Score
1664
Single Precision Score
1653
Half Precision Score
2714
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | extrahacker |
| Upload Date | February 14 2025 10:42 PM |
| Views | 3 |
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% |
1294
240.6 IPS |
|
|
Image Classification (HP)
|
100% |
1273
236.7 IPS |
|
|
Image Classification (Q)
|
100% |
2102
391.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2087
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2477
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2363
2.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
5855
6.94 IPS |
|
|
Object Detection (SP)
|
98% |
1187
94.5 IPS |
|
|
Object Detection (HP)
|
98% |
1142
90.9 IPS |
|
|
Object Detection (Q)
|
83% |
1856
149.9 IPS |
|
|
Face Detection (SP)
|
100% |
2514
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
2542
30.2 IPS |
|
|
Face Detection (Q)
|
95% |
4360
52.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2331
18.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2336
18.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4511
41.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6091
7.91 IPS |
|
|
Style Transfer (HP)
|
89% |
6053
7.86 IPS |
|
|
Style Transfer (Q)
|
98% |
12192
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1121
41.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1126
41.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2916
108.0 IPS |
|
|
Text Classification (SP)
|
100% |
606
809.5 IPS |
|
|
Text Classification (HP)
|
99% |
614
820.0 IPS |
|
|
Text Classification (Q)
|
88% |
1049
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1325
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1308
22.5 IPS |
|
|
Machine Translation (Q)
|
50% |
621
22.1 IPS |
