Xiaomi 2407FPN8EG
Geekbench AI Score
2144
Single Precision Score
2121
Half Precision Score
3035
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 10 2025 05:30 PM |
| Views | 1 |
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% |
1539
286.1 IPS |
|
|
Image Classification (HP)
|
100% |
1425
265.0 IPS |
|
|
Image Classification (Q)
|
100% |
2278
423.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1855
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1835
29.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2408
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2980
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
2961
3.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
5935
7.04 IPS |
|
|
Object Detection (SP)
|
98% |
1542
122.7 IPS |
|
|
Object Detection (HP)
|
98% |
1419
112.9 IPS |
|
|
Object Detection (Q)
|
83% |
2028
163.8 IPS |
|
|
Face Detection (SP)
|
100% |
3109
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (Q)
|
95% |
4846
57.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3524
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3588
27.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5081
46.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7294
9.47 IPS |
|
|
Style Transfer (HP)
|
89% |
6979
9.06 IPS |
|
|
Style Transfer (Q)
|
98% |
12849
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1656
61.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1676
61.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3232
119.8 IPS |
|
|
Text Classification (SP)
|
100% |
736
982.7 IPS |
|
|
Text Classification (HP)
|
99% |
713
951.6 IPS |
|
|
Text Classification (Q)
|
88% |
1232
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1611
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1777
30.6 IPS |
|
|
Machine Translation (Q)
|
50% |
798
28.3 IPS |
