Xiaomi 2407FPN8EG
Geekbench AI Score
1574
Single Precision Score
1572
Half Precision Score
2158
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 15 2025 01:31 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% |
1143
212.7 IPS |
|
|
Image Classification (Q)
|
100% |
1603
298.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1325
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1705
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2202
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2189
2.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
4268
5.06 IPS |
|
|
Object Detection (SP)
|
98% |
1055
84.0 IPS |
|
|
Object Detection (HP)
|
98% |
1027
81.7 IPS |
|
|
Object Detection (Q)
|
83% |
1523
123.0 IPS |
|
|
Face Detection (SP)
|
100% |
2401
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
2411
28.6 IPS |
|
|
Face Detection (Q)
|
95% |
3357
40.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2538
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2490
19.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3578
32.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5366
6.97 IPS |
|
|
Style Transfer (HP)
|
89% |
5334
6.92 IPS |
|
|
Style Transfer (Q)
|
98% |
9432
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1233
45.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1207
44.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2294
85.0 IPS |
|
|
Text Classification (SP)
|
100% |
516
689.2 IPS |
|
|
Text Classification (HP)
|
99% |
510
680.3 IPS |
|
|
Text Classification (Q)
|
88% |
876
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1350
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1390
23.9 IPS |
|
|
Machine Translation (Q)
|
50% |
542
19.2 IPS |
