Geekbench AI Score

491
Single Precision Score
14467
Half Precision Score
35155
Quantized Score
Geekbench AI 1.7.0 for Android AArch64

Result Information

User rennsport
Upload Date February 22 2026 05:38 AM
Views 5

System Information

AI Information
Framework TensorFlow Lite
Backend QNN
Device ARM ARMv8
System Information
Operating System Android 16
Model Xiaomi 23113RKC6C
Model IDXiaomi 23113RKC6C
Motherboard kalama
Governorwalt
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 1 part 3406 revision 0
Base Frequency 2.02 GHz
Cluster 13 Cores @ 2.02 GHz
Cluster 24 Cores @ 2.80 GHz
Cluster 31 Core @ 3.19 GHz
Memory Information
Size 14.84 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 308
57.3 IPS
 
Image Classification (HP)
100% 11382
2.12 KIPS
 
Image Classification (Q)
96% 25783
4.81 KIPS
 
Image Segmentation (SP)
100% 378
6.12 IPS
 
Image Segmentation (HP)
100% 6514
105.6 IPS
 
Image Segmentation (Q)
98% 23150
376.4 IPS
 
Pose Estimation (SP)
100% 505
0.59 IPS
 
Pose Estimation (HP)
100% 57550
67.2 IPS
 
Pose Estimation (Q)
98% 234640
274.6 IPS
 
Object Detection (SP)
100% 297
23.6 IPS
 
Object Detection (HP)
100% 10398
824.8 IPS
 
Object Detection (Q)
86% 15300
1.23 KIPS
 
Face Detection (SP)
100% 721
8.57 IPS
 
Face Detection (HP)
100% 21307
253.2 IPS
 
Face Detection (Q)
97% 74931
893.6 IPS
 
Depth Estimation (SP)
100% 621
4.78 IPS
 
Depth Estimation (HP)
99% 37205
286.6 IPS
 
Depth Estimation (Q)
63% 89066
838.9 IPS
 
Style Transfer (SP)
100% 1005
1.29 IPS
 
Style Transfer (HP)
100% 44262
56.9 IPS
 
Style Transfer (Q)
98% 228054
294.1 IPS
 
Image Super-Resolution (SP)
100% 335
12.4 IPS
 
Image Super-Resolution (HP)
100% 26963
995.6 IPS
 
Image Super-Resolution (Q)
97% 66519
2.46 KIPS
 
Text Classification (SP)
100% 446
595.1 IPS
 
Text Classification (HP)
100% 2309
3.08 KIPS
 
Text Classification (Q)
93% 6786
9.11 KIPS
 
Machine Translation (SP)
100% 703
12.1 IPS
 
Machine Translation (HP)
100% 4144
71.4 IPS
 
Machine Translation (Q)
55% 1959
51.3 IPS
 

Compare

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