Xiaomi 2407FPN8EG
Geekbench AI Score
768
Single Precision Score
903
Half Precision Score
905
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 07:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
396
73.7 IPS |
|
|
Image Classification (HP)
|
100% |
527
98.0 IPS |
|
|
Image Classification (Q)
|
99% |
503
93.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1005
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1026
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1001
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
507
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
747
0.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
745
0.87 IPS |
|
|
Object Detection (SP)
|
100% |
371
29.4 IPS |
|
|
Object Detection (HP)
|
100% |
497
39.5 IPS |
|
|
Object Detection (Q)
|
83% |
565
45.7 IPS |
|
|
Face Detection (SP)
|
100% |
1878
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
1979
23.5 IPS |
|
|
Face Detection (Q)
|
97% |
1872
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1012
7.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
1217
9.38 IPS |
|
|
Depth Estimation (Q)
|
62% |
996
9.43 IPS |
|
|
Style Transfer (SP)
|
100% |
2819
3.62 IPS |
|
|
Style Transfer (HP)
|
100% |
3550
4.56 IPS |
|
|
Style Transfer (Q)
|
98% |
3552
4.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
549
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
656
24.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
655
24.3 IPS |
|
|
Text Classification (SP)
|
100% |
475
634.3 IPS |
|
|
Text Classification (HP)
|
100% |
480
640.5 IPS |
|
|
Text Classification (Q)
|
91% |
761
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (Q)
|
57% |
531
13.0 IPS |
