Xiaomi 2407FPN8EG
Geekbench AI Score
1678
Single Precision Score
1695
Half Precision Score
2296
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 05:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 10.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1150
213.8 IPS |
|
|
Image Classification (HP)
|
100% |
1244
231.3 IPS |
|
|
Image Classification (Q)
|
100% |
1612
299.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1427
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1428
23.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1781
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2407
2.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2422
2.83 IPS |
|
|
Pose Estimation (Q)
|
84% |
4555
5.40 IPS |
|
|
Object Detection (SP)
|
98% |
1122
89.3 IPS |
|
|
Object Detection (HP)
|
98% |
1166
92.8 IPS |
|
|
Object Detection (Q)
|
83% |
1680
135.7 IPS |
|
|
Face Detection (SP)
|
100% |
2490
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
2484
29.5 IPS |
|
|
Face Detection (Q)
|
95% |
3571
42.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2763
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2751
21.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3754
34.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5831
7.57 IPS |
|
|
Style Transfer (HP)
|
89% |
5796
7.52 IPS |
|
|
Style Transfer (Q)
|
98% |
9830
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1332
49.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1350
49.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2378
88.1 IPS |
|
|
Text Classification (SP)
|
100% |
506
675.3 IPS |
|
|
Text Classification (HP)
|
99% |
499
665.5 IPS |
|
|
Text Classification (Q)
|
88% |
901
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1481
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1471
25.3 IPS |
|
|
Machine Translation (Q)
|
50% |
657
23.3 IPS |
