Xiaomi 2407FPN8EG
Geekbench AI Score
1101
Single Precision Score
1491
Half Precision Score
1241
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | shigue |
| Upload Date | August 26 2025 02:34 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
785
146.0 IPS |
|
|
Image Classification (HP)
|
100% |
1165
216.6 IPS |
|
|
Image Classification (Q)
|
97% |
647
120.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2217
35.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2050
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7201
8.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
10292
12.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11138
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
505
40.1 IPS |
|
|
Object Detection (HP)
|
99% |
651
51.7 IPS |
|
|
Object Detection (Q)
|
83% |
724
58.4 IPS |
|
|
Face Detection (SP)
|
100% |
2280
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
2996
35.6 IPS |
|
|
Face Detection (Q)
|
96% |
2774
33.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2992
23.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
4630
35.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
4424
42.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11430
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21097
27.1 IPS |
|
|
Style Transfer (Q)
|
98% |
19724
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1655
61.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2483
91.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2377
88.1 IPS |
|
|
Text Classification (SP)
|
35% |
16
146.8 IPS |
|
|
Text Classification (HP)
|
29% |
11
184.4 IPS |
|
|
Text Classification (Q)
|
29% |
14
240.8 IPS |
|
|
Machine Translation (SP)
|
100% |
352
6.06 IPS |
|
|
Machine Translation (HP)
|
100% |
394
6.78 IPS |
|
|
Machine Translation (Q)
|
43% |
101
5.86 IPS |
