Xiaomi 2407FPN8ER
Geekbench AI Score
1094
Single Precision Score
5434
Half Precision Score
5172
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 02:16 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
690
128.4 IPS |
|
|
Image Classification (HP)
|
100% |
4750
883.3 IPS |
|
|
Image Classification (Q)
|
99% |
9713
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4674
75.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1880
30.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7852
9.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
18464
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
75501
88.5 IPS |
|
|
Object Detection (SP)
|
100% |
574
45.5 IPS |
|
|
Object Detection (HP)
|
100% |
5052
400.8 IPS |
|
|
Object Detection (Q)
|
86% |
6234
501.5 IPS |
|
|
Face Detection (SP)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
13076
155.4 IPS |
|
|
Face Detection (Q)
|
97% |
12097
144.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1195
9.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
19722
151.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
34623
328.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3147
4.04 IPS |
|
|
Style Transfer (HP)
|
100% |
987
1.27 IPS |
|
|
Style Transfer (Q)
|
30% |
580
8.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2321
85.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10220
377.4 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
7707
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
110
146.6 IPS |
|
|
Text Classification (HP)
|
97% |
2028
2.72 KIPS |
|
|
Text Classification (Q)
|
73% |
1919
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
421
7.25 IPS |
|
|
Machine Translation (HP)
|
100% |
2057
35.4 IPS |
|
|
Machine Translation (Q)
|
60% |
444
9.99 IPS |
