Xiaomi 2407FPN8EG
Geekbench AI Score
1049
Single Precision Score
1531
Half Precision Score
1188
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 09:07 AM |
| Views | 1 |
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% |
507
94.2 IPS |
|
|
Image Classification (HP)
|
100% |
718
133.4 IPS |
|
|
Image Classification (Q)
|
97% |
692
129.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1171
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2033
33.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1970
32.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6526
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
10059
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9584
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
458
36.3 IPS |
|
|
Object Detection (HP)
|
99% |
670
53.1 IPS |
|
|
Object Detection (Q)
|
83% |
747
60.3 IPS |
|
|
Face Detection (SP)
|
100% |
2316
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
2761
32.8 IPS |
|
|
Face Detection (Q)
|
96% |
2972
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2984
23.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
4927
38.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
4014
38.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10387
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17109
22.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19527
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1394
51.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2582
95.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2340
86.7 IPS |
|
|
Text Classification (SP)
|
35% |
27
246.0 IPS |
|
|
Text Classification (HP)
|
35% |
31
280.6 IPS |
|
|
Text Classification (Q)
|
29% |
11
187.6 IPS |
|
|
Machine Translation (SP)
|
100% |
337
5.81 IPS |
|
|
Machine Translation (HP)
|
100% |
387
6.67 IPS |
|
|
Machine Translation (Q)
|
43% |
96
5.58 IPS |
