Xiaomi 2407FPN8EG
Geekbench AI Score
947
Single Precision Score
5026
Half Precision Score
4768
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 23 2025 08:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
633
117.6 IPS |
|
|
Image Classification (HP)
|
100% |
4390
816.4 IPS |
|
|
Image Classification (Q)
|
99% |
8739
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
603
9.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
4208
68.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1846
30.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7779
9.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
18333
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
74707
87.6 IPS |
|
|
Object Detection (SP)
|
100% |
529
41.9 IPS |
|
|
Object Detection (HP)
|
100% |
4631
367.3 IPS |
|
|
Object Detection (Q)
|
86% |
5591
449.7 IPS |
|
|
Face Detection (SP)
|
100% |
2799
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
11986
142.4 IPS |
|
|
Face Detection (Q)
|
97% |
11628
138.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
875
6.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
19254
148.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
32965
313.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2397
3.08 IPS |
|
|
Style Transfer (HP)
|
100% |
677
0.87 IPS |
|
|
Style Transfer (Q)
|
30% |
389
5.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2192
80.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10689
394.7 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
7798
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
85
113.3 IPS |
|
|
Text Classification (HP)
|
97% |
1979
2.65 KIPS |
|
|
Text Classification (Q)
|
73% |
1880
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
338
5.83 IPS |
|
|
Machine Translation (HP)
|
100% |
1986
34.2 IPS |
|
|
Machine Translation (Q)
|
60% |
413
9.29 IPS |
