Xiaomi 2407FPN8EG
Geekbench AI Score
1696
Single Precision Score
1619
Half Precision Score
2189
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 09:02 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1510
280.8 IPS |
|
|
Image Classification (HP)
|
100% |
1590
295.7 IPS |
|
|
Image Classification (Q)
|
100% |
2263
420.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1791
29.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2397
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2961
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2736
3.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
5068
6.01 IPS |
|
|
Object Detection (SP)
|
98% |
1219
97.0 IPS |
|
|
Object Detection (HP)
|
98% |
1293
102.9 IPS |
|
|
Object Detection (Q)
|
83% |
1784
144.1 IPS |
|
|
Face Detection (SP)
|
100% |
2691
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
2582
30.7 IPS |
|
|
Face Detection (Q)
|
95% |
3743
44.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2758
21.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2593
20.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3659
33.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5221
6.78 IPS |
|
|
Style Transfer (HP)
|
89% |
4930
6.40 IPS |
|
|
Style Transfer (Q)
|
98% |
8210
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1094
40.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1004
37.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1791
66.4 IPS |
|
|
Text Classification (SP)
|
100% |
410
547.8 IPS |
|
|
Text Classification (HP)
|
99% |
370
493.6 IPS |
|
|
Text Classification (Q)
|
88% |
684
922.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1140
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (Q)
|
50% |
375
13.3 IPS |
