Geekbench AI Score

954
Single Precision Score
5087
Half Precision Score
4827
Quantized Score
Geekbench AI 1.2.0 for Android AArch64

Result Information

Upload Date January 06 2025 02:55 PM
Views 1

System Information

AI Information
Framework TensorFlow Lite
Backend NNAPI
Device ARM ARMv8
System Information
Operating System Android 15
Model Xiaomi 2407FPN8EG
Model IDXiaomi 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 14 Cores @ 2.00 GHz
Cluster 23 Cores @ 2.85 GHz
Cluster 31 Core @ 3.40 GHz
Memory Information
Size 10.93 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 626
116.4 IPS
 
Image Classification (HP)
100% 4432
824.3 IPS
 
Image Classification (Q)
99% 8859
1.65 KIPS
 
Image Segmentation (SP)
100% 605
9.81 IPS
 
Image Segmentation (HP)
100% 4239
68.7 IPS
 
Image Segmentation (Q)
98% 1852
30.1 IPS
 
Pose Estimation (SP)
100% 7836
9.14 IPS
 
Pose Estimation (HP)
100% 18372
21.4 IPS
 
Pose Estimation (Q)
95% 74831
87.7 IPS
 
Object Detection (SP)
100% 529
42.0 IPS
 
Object Detection (HP)
100% 4747
376.5 IPS
 
Object Detection (Q)
86% 5654
454.8 IPS
 
Face Detection (SP)
100% 2822
33.5 IPS
 
Face Detection (HP)
100% 12107
143.9 IPS
 
Face Detection (Q)
97% 11657
139.0 IPS
 
Depth Estimation (SP)
100% 901
6.94 IPS
 
Depth Estimation (HP)
99% 19310
148.8 IPS
 
Depth Estimation (Q)
62% 33313
316.3 IPS
 
Style Transfer (SP)
100% 2409
3.10 IPS
 
Style Transfer (HP)
100% 673
0.86 IPS
 
Style Transfer (Q)
30% 400
6.02 IPS
 
Image Super-Resolution (SP)
100% 2171
80.2 IPS
 
Image Super-Resolution (HP)
100% 10775
397.9 IPS
 
Image Super-Resolution (Q)
41% 7897
1.15 KIPS
 
Text Classification (SP)
100% 85
114.0 IPS
 
Text Classification (HP)
97% 2005
2.69 KIPS
 
Text Classification (Q)
73% 1937
2.74 KIPS
 
Machine Translation (SP)
100% 353
6.08 IPS
 
Machine Translation (HP)
100% 2086
35.9 IPS
 
Machine Translation (Q)
60% 417
9.40 IPS
 

Compare

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