Xiaomi 2407FPN8EG
Geekbench AI Score
923
Single Precision Score
4702
Half Precision Score
4480
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | shigue |
| Upload Date | August 26 2025 02:30 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 2407FPN8EG |
| Model ID | Xiaomi 2407FPN8EG |
| Motherboard | rothko |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
613
114.0 IPS |
|
|
Image Classification (HP)
|
100% |
4129
768.0 IPS |
|
|
Image Classification (Q)
|
99% |
8399
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
578
9.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
3907
63.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1688
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7748
9.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
16825
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
68366
80.1 IPS |
|
|
Object Detection (SP)
|
100% |
519
41.2 IPS |
|
|
Object Detection (HP)
|
100% |
4338
344.1 IPS |
|
|
Object Detection (Q)
|
86% |
5285
425.1 IPS |
|
|
Face Detection (SP)
|
100% |
2796
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
11165
132.7 IPS |
|
|
Face Detection (Q)
|
97% |
10670
127.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
880
6.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
17886
137.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
30749
292.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2401
3.09 IPS |
|
|
Style Transfer (HP)
|
100% |
676
0.87 IPS |
|
|
Style Transfer (Q)
|
30% |
395
5.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2084
76.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9918
366.2 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
7307
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
80
107.0 IPS |
|
|
Text Classification (HP)
|
97% |
1751
2.34 KIPS |
|
|
Text Classification (Q)
|
73% |
1699
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
323
5.57 IPS |
|
|
Machine Translation (HP)
|
100% |
1917
33.0 IPS |
|
|
Machine Translation (Q)
|
60% |
396
8.92 IPS |
