Xiaomi 2407FPN8EG
Geekbench AI Score
1489
Single Precision Score
1479
Half Precision Score
2022
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 13 2025 11:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 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% |
1086
202.0 IPS |
|
|
Image Classification (HP)
|
100% |
1138
211.7 IPS |
|
|
Image Classification (Q)
|
100% |
1478
274.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1251
20.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1725
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2112
2.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2152
2.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
4229
5.02 IPS |
|
|
Object Detection (SP)
|
98% |
1131
90.0 IPS |
|
|
Object Detection (HP)
|
98% |
1063
84.6 IPS |
|
|
Object Detection (Q)
|
83% |
1466
118.4 IPS |
|
|
Face Detection (SP)
|
100% |
2404
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
2305
27.4 IPS |
|
|
Face Detection (Q)
|
95% |
3222
38.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2356
18.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2251
17.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3122
28.6 IPS |
|
|
Style Transfer (SP)
|
89% |
4499
5.84 IPS |
|
|
Style Transfer (HP)
|
89% |
4543
5.90 IPS |
|
|
Style Transfer (Q)
|
98% |
8429
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1034
38.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1070
39.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2014
74.6 IPS |
|
|
Text Classification (SP)
|
100% |
459
613.0 IPS |
|
|
Text Classification (HP)
|
99% |
463
618.1 IPS |
|
|
Text Classification (Q)
|
88% |
822
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1319
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1320
22.7 IPS |
|
|
Machine Translation (Q)
|
50% |
515
18.3 IPS |
