Xiaomi 2407FPN8EG
Geekbench AI Score
1339
Single Precision Score
1363
Half Precision Score
1946
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:46 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% |
650
120.9 IPS |
|
|
Image Classification (HP)
|
100% |
889
165.3 IPS |
|
|
Image Classification (Q)
|
100% |
1676
311.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1209
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1492
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2157
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2547
2.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2348
2.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
4576
5.43 IPS |
|
|
Object Detection (SP)
|
98% |
1014
80.7 IPS |
|
|
Object Detection (HP)
|
98% |
1013
80.6 IPS |
|
|
Object Detection (Q)
|
83% |
1384
111.8 IPS |
|
|
Face Detection (SP)
|
100% |
2310
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
2185
26.0 IPS |
|
|
Face Detection (Q)
|
95% |
3063
36.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2374
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1888
14.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2773
25.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4128
5.36 IPS |
|
|
Style Transfer (HP)
|
89% |
4114
5.34 IPS |
|
|
Style Transfer (Q)
|
98% |
7278
9.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
963
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
954
35.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1775
65.8 IPS |
|
|
Text Classification (SP)
|
100% |
407
543.7 IPS |
|
|
Text Classification (HP)
|
99% |
408
544.7 IPS |
|
|
Text Classification (Q)
|
88% |
692
933.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (Q)
|
50% |
448
15.9 IPS |
