Xiaomi 2407FPN8EG
Geekbench AI Score
1092
Single Precision Score
4940
Half Precision Score
4684
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 01 2025 04:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
666
123.8 IPS |
|
|
Image Classification (HP)
|
100% |
4165
774.5 IPS |
|
|
Image Classification (Q)
|
99% |
8582
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
585
9.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
4154
67.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1562
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7750
9.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
15365
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
62926
73.8 IPS |
|
|
Object Detection (SP)
|
100% |
576
45.7 IPS |
|
|
Object Detection (HP)
|
100% |
4401
349.1 IPS |
|
|
Object Detection (Q)
|
86% |
5447
438.1 IPS |
|
|
Face Detection (SP)
|
100% |
3017
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
11371
135.1 IPS |
|
|
Face Detection (Q)
|
97% |
10085
120.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1203
9.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
16789
129.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
29626
281.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3170
4.07 IPS |
|
|
Style Transfer (HP)
|
100% |
994
1.28 IPS |
|
|
Style Transfer (Q)
|
30% |
610
9.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2325
85.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9384
346.5 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
7138
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
115
153.4 IPS |
|
|
Text Classification (HP)
|
97% |
1966
2.63 KIPS |
|
|
Text Classification (Q)
|
73% |
1885
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
454
7.82 IPS |
|
|
Machine Translation (HP)
|
100% |
2115
36.4 IPS |
|
|
Machine Translation (Q)
|
60% |
452
10.2 IPS |
