Xiaomi 2407FPN8ER
Geekbench AI Score
960
Single Precision Score
5108
Half Precision Score
4861
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 02:09 AM |
| Views | 2 |
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% |
641
119.2 IPS |
|
|
Image Classification (HP)
|
100% |
4429
823.6 IPS |
|
|
Image Classification (Q)
|
99% |
9131
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
610
9.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
4193
68.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1850
30.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7846
9.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
18365
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
74952
87.9 IPS |
|
|
Object Detection (SP)
|
100% |
532
42.2 IPS |
|
|
Object Detection (HP)
|
100% |
4691
372.1 IPS |
|
|
Object Detection (Q)
|
86% |
5724
460.4 IPS |
|
|
Face Detection (SP)
|
100% |
2820
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
12339
146.6 IPS |
|
|
Face Detection (Q)
|
97% |
11709
139.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
906
6.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
19401
149.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
33348
316.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2404
3.09 IPS |
|
|
Style Transfer (HP)
|
100% |
686
0.88 IPS |
|
|
Style Transfer (Q)
|
30% |
395
5.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2154
79.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10879
401.7 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
7914
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
88
117.1 IPS |
|
|
Text Classification (HP)
|
97% |
2025
2.71 KIPS |
|
|
Text Classification (Q)
|
73% |
1971
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
353
6.08 IPS |
|
|
Machine Translation (HP)
|
100% |
2091
36.0 IPS |
|
|
Machine Translation (Q)
|
60% |
423
9.52 IPS |
