Geekbench ML Score

1524
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64

Result Information

Upload Date September 04 2025 07:31 AM
Views 2

System Information

System Information
Operating System Android 14
Model alps k6878v1_64_ssdev
Model IDalps k6878v1_64_ssdev
Motherboard k6878v1_64
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 1 part 3393 revision 0
Base Frequency 2.00 GHz
Cluster 14 Cores @ 2.00 GHz
Cluster 24 Cores @ 2.50 GHz
Memory Information
Size 7.20 GB
Inference Information
Framework TensorFlow Lite
Backend NNAPI
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 423
79.1 IPS
 
Image Classification (F16)
100% 1519
284.3 IPS
 
Image Classification (I8)
97% 4586
858.2 IPS
 
Image Segmentation (F32)
100% 547
9.14 IPS
 
Image Segmentation (F16)
100% 1573
26.3 IPS
 
Image Segmentation (I8)
98% 2005
33.5 IPS
 
Pose Estimation (F32)
100% 2600
3.15 IPS
 
Pose Estimation (F16)
100% 5468
6.62 IPS
 
Pose Estimation (I8)
100% 26132
31.6 IPS
 
Object Detection (F32)
100% 312
23.3 IPS
 
Object Detection (F16)
100% 993
74.1 IPS
 
Object Detection (I8)
64% 1786
133.4 IPS
 
Face Detection (F32)
100% 1311
15.6 IPS
 
Face Detection (F16)
97% 3786
45.0 IPS
 
Face Detection (I8)
86% 8788
104.5 IPS
 
Depth Estimation (F32)
100% 400
3.11 IPS
 
Depth Estimation (F16)
100% 6925
53.7 IPS
 
Depth Estimation (I8)
95% 14360
111.4 IPS
 
Style Transfer (F32)
100% 1642
2.16 IPS
 
Style Transfer (F16)
100% 1447
1.90 IPS
 
Style Transfer (I8)
31% 4390
5.78 IPS
 
Image Super-Resolution (F32)
100% 971
34.7 IPS
 
Image Super-Resolution (F16)
100% 4008
143.1 IPS
 
Image Super-Resolution (I8)
33% 10530
376.0 IPS
 
Text Classification (F32)
100% 68
97.2 IPS
 
Text Classification (F16)
100% 659
947.8 IPS
 
Text Classification (I8)
92% 859
1.24 KIPS
 
Machine Translation (F32)
100% 185
3.41 IPS
 
Machine Translation (F16)
100% 182
3.34 IPS
 
Machine Translation (I8)
66% 313
5.77 IPS
 

Compare

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