Xiaomi 2407FPN8EG
Geekbench AI Score
1016
Single Precision Score
4782
Half Precision Score
4484
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 08:50 AM |
| Views | 4 |
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% |
662
123.2 IPS |
|
|
Image Classification (HP)
|
100% |
4373
813.3 IPS |
|
|
Image Classification (Q)
|
99% |
8982
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
610
9.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
4282
69.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1713
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7887
9.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
16852
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
62757
73.6 IPS |
|
|
Object Detection (SP)
|
100% |
554
44.0 IPS |
|
|
Object Detection (HP)
|
100% |
4245
336.7 IPS |
|
|
Object Detection (Q)
|
86% |
5197
418.0 IPS |
|
|
Face Detection (SP)
|
100% |
2838
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
10790
128.2 IPS |
|
|
Face Detection (Q)
|
97% |
9883
117.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1012
7.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
16501
127.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
28691
272.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2618
3.37 IPS |
|
|
Style Transfer (HP)
|
100% |
770
0.99 IPS |
|
|
Style Transfer (Q)
|
30% |
451
6.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2210
81.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9168
338.5 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
6844
996.7 IPS |
|
|
Text Classification (SP)
|
100% |
104
139.0 IPS |
|
|
Text Classification (HP)
|
97% |
1846
2.47 KIPS |
|
|
Text Classification (Q)
|
73% |
1760
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
385
6.63 IPS |
|
|
Machine Translation (HP)
|
100% |
2012
34.7 IPS |
|
|
Machine Translation (Q)
|
60% |
426
9.58 IPS |
