Xiaomi 2407FPN8EG
Geekbench AI Score
1544
Single Precision Score
1524
Half Precision Score
2078
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 23 2025 08:46 PM |
| 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% |
1135
211.1 IPS |
|
|
Image Classification (HP)
|
100% |
1130
210.2 IPS |
|
|
Image Classification (Q)
|
100% |
1590
295.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1293
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1293
21.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1713
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2226
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
2175
2.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
4277
5.07 IPS |
|
|
Object Detection (SP)
|
98% |
1140
90.7 IPS |
|
|
Object Detection (HP)
|
98% |
1129
89.9 IPS |
|
|
Object Detection (Q)
|
83% |
1542
124.5 IPS |
|
|
Face Detection (SP)
|
100% |
2333
27.7 IPS |
|
|
Face Detection (HP)
|
100% |
2347
27.9 IPS |
|
|
Face Detection (Q)
|
95% |
3494
41.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2526
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2526
19.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3623
33.2 IPS |
|
|
Style Transfer (SP)
|
89% |
5326
6.91 IPS |
|
|
Style Transfer (HP)
|
89% |
5062
6.57 IPS |
|
|
Style Transfer (Q)
|
98% |
8432
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1091
40.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1069
39.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2060
76.3 IPS |
|
|
Text Classification (SP)
|
100% |
460
614.4 IPS |
|
|
Text Classification (HP)
|
99% |
456
608.6 IPS |
|
|
Text Classification (Q)
|
88% |
783
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1319
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1293
22.3 IPS |
|
|
Machine Translation (Q)
|
50% |
486
17.3 IPS |
