Xiaomi 2407FPN8EG
Geekbench AI Score
681
Single Precision Score
816
Half Precision Score
798
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 23 2025 08:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
401
74.6 IPS |
|
|
Image Classification (HP)
|
100% |
520
96.7 IPS |
|
|
Image Classification (Q)
|
99% |
498
92.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
915
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
978
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
959
15.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
510
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
758
0.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
752
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
348
27.6 IPS |
|
|
Object Detection (HP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (Q)
|
83% |
549
44.4 IPS |
|
|
Face Detection (SP)
|
100% |
1661
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
1795
21.3 IPS |
|
|
Face Detection (Q)
|
97% |
1659
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1004
7.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
1214
9.35 IPS |
|
|
Depth Estimation (Q)
|
62% |
992
9.39 IPS |
|
|
Style Transfer (SP)
|
100% |
2838
3.65 IPS |
|
|
Style Transfer (HP)
|
100% |
3584
4.61 IPS |
|
|
Style Transfer (Q)
|
98% |
3558
4.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
538
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
662
24.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
642
23.8 IPS |
|
|
Text Classification (SP)
|
100% |
297
395.8 IPS |
|
|
Text Classification (HP)
|
100% |
296
395.7 IPS |
|
|
Text Classification (Q)
|
91% |
468
629.0 IPS |
|
|
Machine Translation (SP)
|
100% |
441
7.59 IPS |
|
|
Machine Translation (HP)
|
100% |
446
7.69 IPS |
|
|
Machine Translation (Q)
|
57% |
303
7.40 IPS |
