Xiaomi 2407FPN8EG
Geekbench AI Score
1472
Single Precision Score
1458
Half Precision Score
1971
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 31 2025 06:50 PM |
| 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% |
1149
213.6 IPS |
|
|
Image Classification (HP)
|
100% |
1079
200.7 IPS |
|
|
Image Classification (Q)
|
100% |
1419
264.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1268
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1714
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2100
2.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
1986
2.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
3811
4.52 IPS |
|
|
Object Detection (SP)
|
98% |
1044
83.1 IPS |
|
|
Object Detection (HP)
|
98% |
1038
82.6 IPS |
|
|
Object Detection (Q)
|
83% |
1383
111.7 IPS |
|
|
Face Detection (SP)
|
100% |
2168
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
2147
25.5 IPS |
|
|
Face Detection (Q)
|
95% |
3096
37.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2347
18.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2290
17.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3215
29.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4743
6.16 IPS |
|
|
Style Transfer (HP)
|
89% |
4755
6.17 IPS |
|
|
Style Transfer (Q)
|
98% |
8431
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1117
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1112
41.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2047
75.8 IPS |
|
|
Text Classification (SP)
|
100% |
466
621.8 IPS |
|
|
Text Classification (HP)
|
99% |
462
617.0 IPS |
|
|
Text Classification (Q)
|
88% |
793
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1194
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1232
21.2 IPS |
|
|
Machine Translation (Q)
|
50% |
508
18.0 IPS |
