Geekbench AI Score

378
Single Precision Score
364
Half Precision Score
729
Quantized Score
Geekbench AI 1.5.0 for Android AArch64

Result Information

User Willbeonekenobi
Upload Date November 13 2025 09:29 AM
Views 3

System Information

AI Information
Framework TensorFlow Lite
Backend CPU
Device Samsung Exynos 1280
System Information
Operating System Android 16
Model Samsung Galaxy A33
Model IDsamsung SM-A336E
Motherboard s5e8825
Governorenergy_aware
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 1 part 3393 revision 1
Base Frequency 2.00 GHz
Cluster 16 Cores @ 2.00 GHz
Cluster 22 Cores @ 2.40 GHz
Memory Information
Size 5.26 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 163
30.3 IPS
 
Image Classification (HP)
100% 162
30.1 IPS
 
Image Classification (Q)
100% 496
92.3 IPS
 
Image Segmentation (SP)
100% 273
4.42 IPS
 
Image Segmentation (HP)
100% 212
3.43 IPS
 
Image Segmentation (Q)
98% 567
9.22 IPS
 
Pose Estimation (SP)
100% 795
0.93 IPS
 
Pose Estimation (HP)
100% 772
0.90 IPS
 
Pose Estimation (Q)
84% 1202
1.43 IPS
 
Object Detection (SP)
100% 163
12.9 IPS
 
Object Detection (HP)
100% 163
12.9 IPS
 
Object Detection (Q)
83% 486
39.3 IPS
 
Face Detection (SP)
100% 505
6.01 IPS
 
Face Detection (HP)
100% 502
5.96 IPS
 
Face Detection (Q)
95% 1169
14.0 IPS
 
Depth Estimation (SP)
100% 654
5.04 IPS
 
Depth Estimation (HP)
99% 648
4.99 IPS
 
Depth Estimation (Q)
64% 1138
10.4 IPS
 
Style Transfer (SP)
89% 1383
1.79 IPS
 
Style Transfer (HP)
89% 1367
1.77 IPS
 
Style Transfer (Q)
98% 2860
3.69 IPS
 
Image Super-Resolution (SP)
100% 350
12.9 IPS
 
Image Super-Resolution (HP)
100% 342
12.6 IPS
 
Image Super-Resolution (Q)
97% 691
25.6 IPS
 
Text Classification (SP)
100% 198
264.2 IPS
 
Text Classification (HP)
100% 195
260.9 IPS
 
Text Classification (Q)
88% 393
529.5 IPS
 
Machine Translation (SP)
100% 327
5.63 IPS
 
Machine Translation (HP)
100% 323
5.57 IPS
 
Machine Translation (Q)
50% 251
8.90 IPS
 

Compare

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