Xiaomi 2407FPN8EG
Geekbench AI Score
746
Single Precision Score
886
Half Precision Score
873
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 01 2025 04:27 AM |
| 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% |
394
73.3 IPS |
|
|
Image Classification (HP)
|
100% |
510
94.8 IPS |
|
|
Image Classification (Q)
|
99% |
505
94.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
926
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
939
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
931
15.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
501
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
752
0.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
746
0.87 IPS |
|
|
Object Detection (SP)
|
100% |
348
27.6 IPS |
|
|
Object Detection (HP)
|
100% |
490
38.9 IPS |
|
|
Object Detection (Q)
|
83% |
542
43.8 IPS |
|
|
Face Detection (SP)
|
100% |
1640
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
1788
21.2 IPS |
|
|
Face Detection (Q)
|
97% |
1629
19.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
992
7.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
1216
9.36 IPS |
|
|
Depth Estimation (Q)
|
62% |
978
9.25 IPS |
|
|
Style Transfer (SP)
|
100% |
2797
3.60 IPS |
|
|
Style Transfer (HP)
|
100% |
3567
4.58 IPS |
|
|
Style Transfer (Q)
|
98% |
3547
4.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
535
19.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
654
24.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
642
23.8 IPS |
|
|
Text Classification (SP)
|
100% |
485
647.6 IPS |
|
|
Text Classification (HP)
|
100% |
479
639.4 IPS |
|
|
Text Classification (Q)
|
91% |
780
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
696
12.0 IPS |
|
|
Machine Translation (Q)
|
57% |
483
11.8 IPS |
