Geekbench ML Score

997
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64

Result Information

Upload Date March 12 2025 06:19 AM
Views 4

System Information

System Information
Operating System Android 15
Model vivo V2417A
Model IDvivo V2417A
Motherboard k6989v1_64
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 11.06 GB
Inference Information
Framework TensorFlow Lite
Backend GPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 528
98.7 IPS
 
Image Classification (F16)
100% 680
127.2 IPS
 
Image Classification (I8)
97% 632
118.2 IPS
 
Image Segmentation (F32)
100% 1214
20.3 IPS
 
Image Segmentation (F16)
100% 1263
21.1 IPS
 
Image Segmentation (I8)
98% 1230
20.5 IPS
 
Pose Estimation (F32)
100% 672
0.81 IPS
 
Pose Estimation (F16)
100% 1008
1.22 IPS
 
Pose Estimation (I8)
100% 1007
1.22 IPS
 
Object Detection (F32)
100% 404
30.2 IPS
 
Object Detection (F16)
100% 550
41.0 IPS
 
Object Detection (I8)
62% 561
41.9 IPS
 
Face Detection (F32)
100% 2295
27.3 IPS
 
Face Detection (F16)
98% 2086
24.8 IPS
 
Face Detection (I8)
86% 2197
26.1 IPS
 
Depth Estimation (F32)
100% 1349
10.5 IPS
 
Depth Estimation (F16)
100% 1669
12.9 IPS
 
Depth Estimation (I8)
95% 1678
13.0 IPS
 
Style Transfer (F32)
100% 3752
4.93 IPS
 
Style Transfer (F16)
100% 4779
6.29 IPS
 
Style Transfer (I8)
98% 4771
6.28 IPS
 
Image Super-Resolution (F32)
100% 746
26.6 IPS
 
Image Super-Resolution (F16)
100% 926
33.1 IPS
 
Image Super-Resolution (I8)
98% 909
32.5 IPS
 
Text Classification (F32)
100% 355
510.2 IPS
 
Text Classification (F16)
100% 356
511.7 IPS
 
Text Classification (I8)
92% 569
817.1 IPS
 
Machine Translation (F32)
100% 517
9.51 IPS
 
Machine Translation (F16)
100% 517
9.52 IPS
 
Machine Translation (I8)
64% 617
11.4 IPS
 

Compare

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