Xiaomi 2407FPN8EG
Geekbench AI Score
1371
Single Precision Score
1374
Half Precision Score
1917
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 25 2025 02:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1033
192.1 IPS |
|
|
Image Classification (HP)
|
100% |
1030
191.6 IPS |
|
|
Image Classification (Q)
|
100% |
1417
263.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1164
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1487
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1917
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1940
2.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
3781
4.48 IPS |
|
|
Object Detection (SP)
|
98% |
944
75.2 IPS |
|
|
Object Detection (HP)
|
98% |
935
74.4 IPS |
|
|
Object Detection (Q)
|
83% |
1280
103.4 IPS |
|
|
Face Detection (SP)
|
100% |
2125
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
2167
25.8 IPS |
|
|
Face Detection (Q)
|
95% |
3010
35.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2204
17.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2216
17.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3189
29.2 IPS |
|
|
Style Transfer (SP)
|
89% |
4566
5.93 IPS |
|
|
Style Transfer (HP)
|
89% |
4566
5.93 IPS |
|
|
Style Transfer (Q)
|
98% |
8349
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1000
36.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
986
36.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2052
76.0 IPS |
|
|
Text Classification (SP)
|
100% |
462
617.3 IPS |
|
|
Text Classification (HP)
|
99% |
453
604.8 IPS |
|
|
Text Classification (Q)
|
88% |
790
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1099
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1140
19.6 IPS |
|
|
Machine Translation (Q)
|
50% |
508
18.0 IPS |
