Xiaomi 2407FPN8ER
Geekbench AI Score
1536
Single Precision Score
1505
Half Precision Score
2032
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 02:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2407FPN8ER |
| Model ID | Xiaomi 2407FPN8ER |
| 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% |
1218
226.6 IPS |
|
|
Image Classification (HP)
|
100% |
1228
228.5 IPS |
|
|
Image Classification (Q)
|
100% |
1821
338.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1439
23.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1828
29.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2260
2.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
2040
2.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
3829
4.54 IPS |
|
|
Object Detection (SP)
|
98% |
1056
84.0 IPS |
|
|
Object Detection (HP)
|
98% |
1055
83.9 IPS |
|
|
Object Detection (Q)
|
83% |
1405
113.5 IPS |
|
|
Face Detection (SP)
|
100% |
2164
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
2161
25.7 IPS |
|
|
Face Detection (Q)
|
95% |
3050
36.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2367
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2320
17.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3190
29.2 IPS |
|
|
Style Transfer (SP)
|
89% |
4662
6.05 IPS |
|
|
Style Transfer (HP)
|
89% |
4659
6.05 IPS |
|
|
Style Transfer (Q)
|
98% |
8391
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1100
40.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1085
40.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2048
75.9 IPS |
|
|
Text Classification (SP)
|
100% |
476
634.9 IPS |
|
|
Text Classification (HP)
|
99% |
461
614.9 IPS |
|
|
Text Classification (Q)
|
88% |
780
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1326
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1345
23.2 IPS |
|
|
Machine Translation (Q)
|
50% |
515
18.3 IPS |
