Xiaomi 2406APNFAG
Geekbench AI Score
452
Single Precision Score
551
Half Precision Score
529
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | extrahacker |
| Upload Date | February 14 2025 10:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
243
45.1 IPS |
|
|
Image Classification (HP)
|
100% |
343
63.7 IPS |
|
|
Image Classification (Q)
|
99% |
249
46.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
559
9.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
625
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
298
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
502
0.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
498
0.58 IPS |
|
|
Object Detection (SP)
|
100% |
254
20.2 IPS |
|
|
Object Detection (HP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (Q)
|
83% |
324
26.2 IPS |
|
|
Face Detection (SP)
|
100% |
1160
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1337
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
1227
14.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
680
5.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
813
6.26 IPS |
|
|
Depth Estimation (Q)
|
62% |
654
6.19 IPS |
|
|
Style Transfer (SP)
|
100% |
1920
2.47 IPS |
|
|
Style Transfer (HP)
|
100% |
2350
3.02 IPS |
|
|
Style Transfer (Q)
|
98% |
2344
3.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
351
13.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
412
15.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
415
15.4 IPS |
|
|
Text Classification (SP)
|
100% |
202
269.9 IPS |
|
|
Text Classification (HP)
|
100% |
206
275.1 IPS |
|
|
Text Classification (Q)
|
91% |
356
478.8 IPS |
|
|
Machine Translation (SP)
|
100% |
324
5.58 IPS |
|
|
Machine Translation (HP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (Q)
|
57% |
249
6.09 IPS |
