Xiaomi 2407FPN8EG
Geekbench AI Score
1006
Single Precision Score
5147
Half Precision Score
4926
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 08 2025 07:57 AM |
| Views | 3 |
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 | 1 Core |
| Cluster 2 | 4 Cores @ 2.00 GHz |
| Cluster 3 | 3 Cores @ 2.85 GHz |
| Memory Information | |
|---|---|
| Size | 10.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
625
116.2 IPS |
|
|
Image Classification (HP)
|
100% |
4434
824.5 IPS |
|
|
Image Classification (Q)
|
99% |
8878
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
619
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4212
68.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1849
30.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7694
8.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
18493
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
74848
87.7 IPS |
|
|
Object Detection (SP)
|
100% |
532
42.2 IPS |
|
|
Object Detection (HP)
|
100% |
4689
371.9 IPS |
|
|
Object Detection (Q)
|
86% |
5680
456.9 IPS |
|
|
Face Detection (SP)
|
100% |
2767
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
12079
143.5 IPS |
|
|
Face Detection (Q)
|
97% |
11724
139.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
992
7.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
19373
149.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
33275
316.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2631
3.38 IPS |
|
|
Style Transfer (HP)
|
100% |
777
1.00 IPS |
|
|
Style Transfer (Q)
|
30% |
454
6.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2251
83.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10784
398.2 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
7946
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
106
142.0 IPS |
|
|
Text Classification (HP)
|
97% |
2006
2.69 KIPS |
|
|
Text Classification (Q)
|
73% |
1921
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
391
6.74 IPS |
|
|
Machine Translation (HP)
|
100% |
2051
35.3 IPS |
|
|
Machine Translation (Q)
|
60% |
446
10.0 IPS |
