Xiaomi 2407FPN8EG
Geekbench AI Score
1462
Single Precision Score
1453
Half Precision Score
2015
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 09:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
987
183.5 IPS |
|
|
Image Classification (HP)
|
100% |
1004
186.6 IPS |
|
|
Image Classification (Q)
|
100% |
1447
269.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1186
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1144
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1527
24.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2195
2.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
1988
2.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
3817
4.53 IPS |
|
|
Object Detection (SP)
|
98% |
1031
82.1 IPS |
|
|
Object Detection (HP)
|
98% |
1030
82.0 IPS |
|
|
Object Detection (Q)
|
83% |
1404
113.4 IPS |
|
|
Face Detection (SP)
|
100% |
2107
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2133
25.3 IPS |
|
|
Face Detection (Q)
|
95% |
3089
36.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2283
17.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2343
18.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3263
29.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4806
6.24 IPS |
|
|
Style Transfer (HP)
|
89% |
4724
6.13 IPS |
|
|
Style Transfer (Q)
|
98% |
8512
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1097
40.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1103
40.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2103
77.9 IPS |
|
|
Text Classification (SP)
|
100% |
464
619.6 IPS |
|
|
Text Classification (HP)
|
99% |
483
644.9 IPS |
|
|
Text Classification (Q)
|
88% |
867
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1439
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1426
24.6 IPS |
|
|
Machine Translation (Q)
|
50% |
598
21.2 IPS |
