Xiaomi 2407FPN8EG
Geekbench AI Score
1102
Single Precision Score
5040
Half Precision Score
4789
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | BadHabitMarco |
| Upload Date | November 20 2024 12:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
712
132.5 IPS |
|
|
Image Classification (HP)
|
100% |
4113
764.9 IPS |
|
|
Image Classification (Q)
|
99% |
8540
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
580
9.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
4126
66.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1560
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7841
9.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
15386
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
62788
73.6 IPS |
|
|
Object Detection (SP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (HP)
|
100% |
4354
345.4 IPS |
|
|
Object Detection (Q)
|
86% |
5378
432.6 IPS |
|
|
Face Detection (SP)
|
100% |
3028
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
11311
134.4 IPS |
|
|
Face Detection (Q)
|
97% |
10073
120.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1126
8.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
16807
129.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
29550
280.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3108
4.00 IPS |
|
|
Style Transfer (HP)
|
100% |
963
1.24 IPS |
|
|
Style Transfer (Q)
|
30% |
588
8.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2355
87.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10280
379.6 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
7747
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
118
157.2 IPS |
|
|
Text Classification (HP)
|
97% |
2135
2.86 KIPS |
|
|
Text Classification (Q)
|
73% |
2051
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
485
8.35 IPS |
|
|
Machine Translation (HP)
|
100% |
2317
39.9 IPS |
|
|
Machine Translation (Q)
|
60% |
508
11.5 IPS |
