Geekbench ML Score

428
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64

Result Information

Upload Date May 18 2024 08:43 AM
Views 1

System Information

System Information
Operating System Android 13
Model Ulefone Armor 26 Ultra
Model IDUlefone Armor 26 Ultra
Motherboard GQ5006AF1
CPU Information
Name ARM MT6891Z_T/CZA
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 @ 2.60 GHz
Memory Information
Size 11.30 GB
Inference Information
Framework TensorFlow Lite
Backend GPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 274
51.2 IPS
 
Image Classification (F16)
100% 322
60.2 IPS
 
Image Classification (I8)
97% 287
53.7 IPS
 
Image Segmentation (F32)
100% 387
6.47 IPS
 
Image Segmentation (F16)
100% 553
9.24 IPS
 
Image Segmentation (I8)
98% 528
8.82 IPS
 
Pose Estimation (F32)
100% 256
0.31 IPS
 
Pose Estimation (F16)
100% 309
0.37 IPS
 
Pose Estimation (I8)
100% 307
0.37 IPS
 
Object Detection (F32)
100% 194
14.5 IPS
 
Object Detection (F16)
100% 256
19.1 IPS
 
Object Detection (I8)
62% 216
16.2 IPS
 
Face Detection (F32)
100% 833
9.91 IPS
 
Face Detection (F16)
98% 1222
14.5 IPS
 
Face Detection (I8)
86% 1251
14.9 IPS
 
Depth Estimation (F32)
100% 490
3.80 IPS
 
Depth Estimation (F16)
100% 647
5.02 IPS
 
Depth Estimation (I8)
95% 649
5.04 IPS
 
Style Transfer (F32)
100% 1074
1.41 IPS
 
Style Transfer (F16)
100% 1651
2.17 IPS
 
Style Transfer (I8)
98% 1660
2.18 IPS
 
Image Super-Resolution (F32)
100% 305
10.9 IPS
 
Image Super-Resolution (F16)
100% 468
16.7 IPS
 
Image Super-Resolution (I8)
98% 454
16.2 IPS
 
Text Classification (F32)
100% 157
225.9 IPS
 
Text Classification (F16)
100% 157
226.3 IPS
 
Text Classification (I8)
92% 334
480.1 IPS
 
Machine Translation (F32)
100% 295
5.43 IPS
 
Machine Translation (F16)
100% 300
5.52 IPS
 
Machine Translation (I8)
64% 339
6.24 IPS
 

Compare

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