Xiaomi 2407FPN8EG
Geekbench AI Score
2167
Single Precision Score
2138
Half Precision Score
3025
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | ThatHungarian |
| Upload Date | January 04 2026 05:56 PM |
| Views | 6 |
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% |
1519
282.4 IPS |
|
|
Image Classification (HP)
|
100% |
1617
300.6 IPS |
|
|
Image Classification (Q)
|
100% |
2276
423.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1798
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1825
29.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2414
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2918
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2936
3.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
5936
7.04 IPS |
|
|
Object Detection (SP)
|
98% |
1591
126.6 IPS |
|
|
Object Detection (HP)
|
98% |
1478
117.6 IPS |
|
|
Object Detection (Q)
|
83% |
2194
177.3 IPS |
|
|
Face Detection (SP)
|
100% |
3168
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
3169
37.7 IPS |
|
|
Face Detection (Q)
|
95% |
4835
57.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3478
26.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3451
26.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4977
45.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7117
9.24 IPS |
|
|
Style Transfer (HP)
|
89% |
7054
9.16 IPS |
|
|
Style Transfer (Q)
|
98% |
13232
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1678
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1659
61.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3262
120.9 IPS |
|
|
Text Classification (SP)
|
100% |
736
982.7 IPS |
|
|
Text Classification (HP)
|
99% |
709
946.8 IPS |
|
|
Text Classification (Q)
|
88% |
1217
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1861
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1725
29.7 IPS |
|
|
Machine Translation (Q)
|
50% |
711
25.2 IPS |
