Xiaomi 2407FPN8EG
Geekbench AI Score
1613
Single Precision Score
1613
Half Precision Score
2241
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 06 2025 07:29 PM |
| Views | 1 |
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% |
1212
225.4 IPS |
|
|
Image Classification (HP)
|
100% |
1199
222.9 IPS |
|
|
Image Classification (Q)
|
100% |
1851
344.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1502
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1906
31.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2332
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2206
2.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
4321
5.12 IPS |
|
|
Object Detection (SP)
|
98% |
1043
83.0 IPS |
|
|
Object Detection (HP)
|
98% |
1132
90.0 IPS |
|
|
Object Detection (Q)
|
83% |
1556
125.7 IPS |
|
|
Face Detection (SP)
|
100% |
2383
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
2402
28.5 IPS |
|
|
Face Detection (Q)
|
95% |
3521
42.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2564
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2531
19.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3625
33.2 IPS |
|
|
Style Transfer (SP)
|
89% |
5170
6.71 IPS |
|
|
Style Transfer (HP)
|
89% |
5093
6.61 IPS |
|
|
Style Transfer (Q)
|
98% |
9544
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1216
44.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1201
44.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2317
85.9 IPS |
|
|
Text Classification (SP)
|
100% |
518
690.8 IPS |
|
|
Text Classification (HP)
|
99% |
520
693.7 IPS |
|
|
Text Classification (Q)
|
88% |
882
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1359
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1366
23.5 IPS |
|
|
Machine Translation (Q)
|
50% |
543
19.3 IPS |
