Geekbench AI Score

2634
Single Precision Score
2950
Half Precision Score
2741
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64

Result Information

User tss6147
Upload Date February 01 2025 09:08 AM
Views 2

System Information

AI Information
Framework Core ML
Backend GPU
Device Apple A15 Bionic
System Information
Operating System iOS 18.3
Model iPhone 13 mini
Model IDiPhone14,4
Motherboard D16AP
CPU Information
Name Apple A15 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.23 GHz
Cluster 12 Cores
Cluster 24 Cores
Memory Information
Size 3.59 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 622
115.7 IPS
 
Image Classification (HP)
100% 803
149.3 IPS
 
Image Classification (Q)
97% 689
128.5 IPS
 
Image Segmentation (SP)
100% 1980
32.1 IPS
 
Image Segmentation (HP)
100% 2047
33.2 IPS
 
Image Segmentation (Q)
99% 2018
32.7 IPS
 
Pose Estimation (SP)
100% 9343
10.9 IPS
 
Pose Estimation (HP)
100% 10006
11.7 IPS
 
Pose Estimation (Q)
95% 9197
10.8 IPS
 
Object Detection (SP)
100% 1143
90.7 IPS
 
Object Detection (HP)
100% 1072
85.0 IPS
 
Object Detection (Q)
91% 1397
111.6 IPS
 
Face Detection (SP)
100% 4322
51.4 IPS
 
Face Detection (HP)
100% 4646
55.2 IPS
 
Face Detection (Q)
100% 3470
41.2 IPS
 
Depth Estimation (SP)
100% 7647
58.9 IPS
 
Depth Estimation (HP)
99% 8010
61.7 IPS
 
Depth Estimation (Q)
85% 6533
51.1 IPS
 
Style Transfer (SP)
100% 16562
21.3 IPS
 
Style Transfer (HP)
100% 19092
24.5 IPS
 
Style Transfer (Q)
96% 16957
21.9 IPS
 
Image Super-Resolution (SP)
100% 2888
106.7 IPS
 
Image Super-Resolution (HP)
100% 2833
104.6 IPS
 
Image Super-Resolution (Q)
99% 2385
88.1 IPS
 
Text Classification (SP)
100% 2415
3.22 KIPS
 
Text Classification (HP)
100% 4151
5.54 KIPS
 
Text Classification (Q)
93% 4128
5.54 KIPS
 
Machine Translation (SP)
100% 321
5.54 IPS
 
Machine Translation (HP)
100% 339
5.84 IPS
 
Machine Translation (Q)
98% 355
6.14 IPS
 

Compare

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