Xiaomi 2406APNFAG
Geekbench AI Score
1757
Single Precision Score
2162
Half Precision Score
3221
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Mark52 |
| Upload Date | April 07 2026 05:42 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1438
267.4 IPS |
|
|
Image Classification (HP)
|
100% |
1191
221.4 IPS |
|
|
Image Classification (Q)
|
99% |
2470
460.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1505
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1399
22.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2694
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2481
2.90 IPS |
|
|
Pose Estimation (HP)
|
92% |
5160
6.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
6134
7.19 IPS |
|
|
Object Detection (SP)
|
98% |
1260
100.2 IPS |
|
|
Object Detection (HP)
|
97% |
1080
85.9 IPS |
|
|
Object Detection (Q)
|
85% |
2157
173.8 IPS |
|
|
Face Detection (SP)
|
100% |
2444
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
3139
37.3 IPS |
|
|
Face Detection (Q)
|
97% |
5153
61.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2389
18.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
4083
31.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5148
47.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6336
8.22 IPS |
|
|
Style Transfer (HP)
|
88% |
6515
8.46 IPS |
|
|
Style Transfer (Q)
|
98% |
13327
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1268
46.8 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
2253
83.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3341
123.8 IPS |
|
|
Text Classification (SP)
|
100% |
672
896.7 IPS |
|
|
Text Classification (HP)
|
100% |
1002
1.34 KIPS |
|
|
Text Classification (Q)
|
93% |
1215
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1320
22.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1280
22.1 IPS |
|
|
Machine Translation (Q)
|
55% |
952
25.6 IPS |
