Xiaomi 2407FPN8EG
Geekbench AI Score
975
Single Precision Score
964
Half Precision Score
1398
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 07:19 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% |
636
118.2 IPS |
|
|
Image Classification (HP)
|
100% |
619
115.1 IPS |
|
|
Image Classification (Q)
|
100% |
1002
186.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
757
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
731
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1045
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1336
1.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
1353
1.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
2913
3.45 IPS |
|
|
Object Detection (SP)
|
98% |
699
55.6 IPS |
|
|
Object Detection (HP)
|
98% |
676
53.8 IPS |
|
|
Object Detection (Q)
|
83% |
996
80.5 IPS |
|
|
Face Detection (SP)
|
100% |
1560
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
1574
18.7 IPS |
|
|
Face Detection (Q)
|
95% |
2093
25.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1507
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1477
11.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2223
20.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3311
4.30 IPS |
|
|
Style Transfer (HP)
|
89% |
3314
4.30 IPS |
|
|
Style Transfer (Q)
|
98% |
5979
7.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
703
26.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
689
25.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1454
53.9 IPS |
|
|
Text Classification (SP)
|
100% |
354
472.6 IPS |
|
|
Text Classification (HP)
|
99% |
331
441.3 IPS |
|
|
Text Classification (Q)
|
88% |
580
781.7 IPS |
|
|
Machine Translation (SP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
957
16.5 IPS |
|
|
Machine Translation (Q)
|
50% |
401
14.2 IPS |
