Geekbench AI Score

318
Single Precision Score
1394
Half Precision Score
2281
Quantized Score
Geekbench AI 1.4.0 for Android AArch64

Result Information

Upload Date September 04 2025 09:32 AM
Views 5

System Information

AI Information
Framework TensorFlow Lite
Backend NNAPI
Device ARM ARMv8
System Information
Operating System Android 15
Model vivo V2334
Model IDvivo V2334
Motherboard k6886v1_64
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 1 part 3405 revision 0
Base Frequency 2.00 GHz
Cluster 16 Cores @ 2.00 GHz
Cluster 22 Cores @ 2.80 GHz
Memory Information
Size 7.25 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 299
55.6 IPS
 
Image Classification (HP)
100% 1426
265.2 IPS
 
Image Classification (Q)
99% 3921
731.3 IPS
 
Image Segmentation (SP)
100% 281
4.55 IPS
 
Image Segmentation (HP)
100% 1497
24.3 IPS
 
Image Segmentation (Q)
98% 1106
18.0 IPS
 
Pose Estimation (SP)
100% 2031
2.37 IPS
 
Pose Estimation (HP)
100% 6320
7.37 IPS
 
Pose Estimation (Q)
95% 25512
29.9 IPS
 
Object Detection (SP)
100% 235
18.7 IPS
 
Object Detection (HP)
100% 1323
104.9 IPS
 
Object Detection (Q)
86% 2099
168.8 IPS
 
Face Detection (SP)
28% 27
5.07 IPS
 
Face Detection (HP)
100% 3484
41.4 IPS
 
Face Detection (Q)
97% 6664
79.5 IPS
 
Depth Estimation (SP)
100% 516
3.98 IPS
 
Depth Estimation (HP)
99% 6609
50.9 IPS
 
Depth Estimation (Q)
62% 13706
130.2 IPS
 
Style Transfer (SP)
100% 1050
1.35 IPS
 
Style Transfer (HP)
100% 401
0.52 IPS
 
Style Transfer (Q)
30% 377
5.68 IPS
 
Image Super-Resolution (SP)
100% 758
28.0 IPS
 
Image Super-Resolution (HP)
100% 3923
144.9 IPS
 
Image Super-Resolution (Q)
41% 2664
388.0 IPS
 
Text Classification (SP)
100% 106
141.2 IPS
 
Text Classification (HP)
100% 173
230.8 IPS
 
Text Classification (Q)
93% 738
991.4 IPS
 
Machine Translation (SP)
100% 229
3.94 IPS
 
Machine Translation (HP)
100% 248
4.28 IPS
 
Machine Translation (Q)
60% 243
5.48 IPS
 

Compare

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