Geekbench AI Score

3037
Single Precision Score
4576
Half Precision Score
3924
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64

Result Information

User ElementalOwl
Upload Date September 17 2024 07:50 AM
Views 6

System Information

AI Information
Framework Core ML
Backend CPU
Device Apple A15 Bionic
System Information
Operating System iOS 17.7
Model iPhone 13 Pro Max
Model IDiPhone14,3
Motherboard D64AP
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 5.47 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 1415
263.2 IPS
 
Image Classification (HP)
100% 1767
328.5 IPS
 
Image Classification (Q)
96% 1370
255.8 IPS
 
Image Segmentation (SP)
100% 1167
18.9 IPS
 
Image Segmentation (HP)
100% 1132
18.3 IPS
 
Image Segmentation (Q)
99% 1677
27.2 IPS
 
Pose Estimation (SP)
100% 5904
6.89 IPS
 
Pose Estimation (HP)
100% 13739
16.0 IPS
 
Pose Estimation (Q)
95% 11776
13.8 IPS
 
Object Detection (SP)
100% 1456
115.5 IPS
 
Object Detection (HP)
97% 2119
168.7 IPS
 
Object Detection (Q)
94% 1628
129.7 IPS
 
Face Detection (SP)
100% 2361
28.0 IPS
 
Face Detection (HP)
100% 4030
47.9 IPS
 
Face Detection (Q)
100% 2604
30.9 IPS
 
Depth Estimation (SP)
100% 4955
38.2 IPS
 
Depth Estimation (HP)
97% 8033
62.1 IPS
 
Depth Estimation (Q)
86% 6068
47.4 IPS
 
Style Transfer (SP)
100% 16491
21.2 IPS
 
Style Transfer (HP)
100% 25502
32.8 IPS
 
Style Transfer (Q)
96% 21097
27.2 IPS
 
Image Super-Resolution (SP)
100% 3530
130.3 IPS
 
Image Super-Resolution (HP)
100% 4915
181.5 IPS
 
Image Super-Resolution (Q)
99% 3538
130.6 IPS
 
Text Classification (SP)
100% 2378
3.17 KIPS
 
Text Classification (HP)
100% 3889
5.19 KIPS
 
Text Classification (Q)
93% 3815
5.12 KIPS
 
Machine Translation (SP)
100% 2909
50.1 IPS
 
Machine Translation (HP)
98% 4387
75.8 IPS
 
Machine Translation (Q)
98% 4377
75.6 IPS
 

Compare

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