Xiaomi 2407FPN8ER
Geekbench AI Score
1973
Single Precision Score
1960
Half Precision Score
2759
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 12:07 PM |
| Views | 3 |
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% |
1345
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
1443
268.3 IPS |
|
|
Image Classification (Q)
|
100% |
2034
378.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1645
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1667
27.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2198
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2740
3.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2715
3.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
5442
6.45 IPS |
|
|
Object Detection (SP)
|
98% |
1431
113.9 IPS |
|
|
Object Detection (HP)
|
98% |
1408
112.0 IPS |
|
|
Object Detection (Q)
|
83% |
1839
148.6 IPS |
|
|
Face Detection (SP)
|
100% |
3008
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
2988
35.5 IPS |
|
|
Face Detection (Q)
|
95% |
4461
53.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3122
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3166
24.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4630
42.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6477
8.41 IPS |
|
|
Style Transfer (HP)
|
89% |
6293
8.17 IPS |
|
|
Style Transfer (Q)
|
98% |
11928
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1509
55.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1501
55.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2986
110.7 IPS |
|
|
Text Classification (SP)
|
100% |
664
886.5 IPS |
|
|
Text Classification (HP)
|
99% |
656
875.3 IPS |
|
|
Text Classification (Q)
|
88% |
1140
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1695
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1558
26.8 IPS |
|
|
Machine Translation (Q)
|
50% |
682
24.2 IPS |
