Geekbench ML Score

1937
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date January 23 2025 04:28 PM
Views 2

System Information

System Information
Operating System iOS 16.3.1
Model iPhone 14
Model IDiPhone14,7
Motherboard D27AP
CPU Information
Name Apple A15 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.23 GHz
Cluster 12 Cores
Cluster 24 Cores
L1 Instruction Cache128 KB x 1
L1 Data Cache64.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 5.56 GB
Inference Information
Framework Core ML
Backend CPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 941
176.1 IPS
 
Image Classification (F16)
100% 903
168.9 IPS
 
Image Classification (I8)
99% 908
169.8 IPS
 
Image Segmentation (F32)
100% 639
10.7 IPS
 
Image Segmentation (F16)
100% 578
9.65 IPS
 
Image Segmentation (I8)
100% 578
9.65 IPS
 
Pose Estimation (F32)
100% 5447
6.60 IPS
 
Pose Estimation (F16)
100% 9559
11.6 IPS
 
Pose Estimation (I8)
100% 9688
11.7 IPS
 
Object Detection (F32)
100% 1024
76.4 IPS
 
Object Detection (F16)
100% 1051
78.5 IPS
 
Object Detection (I8)
97% 1033
77.2 IPS
 
Face Detection (F32)
100% 1798
21.4 IPS
 
Face Detection (F16)
100% 1628
19.4 IPS
 
Face Detection (I8)
99% 1629
19.4 IPS
 
Depth Estimation (F32)
100% 3301
25.6 IPS
 
Depth Estimation (F16)
99% 3683
28.6 IPS
 
Depth Estimation (I8)
99% 3669
28.5 IPS
 
Style Transfer (F32)
100% 9912
13.0 IPS
 
Style Transfer (F16)
100% 11808
15.5 IPS
 
Style Transfer (I8)
100% 11765
15.5 IPS
 
Image Super-Resolution (F32)
100% 2414
86.2 IPS
 
Image Super-Resolution (F16)
100% 2568
91.7 IPS
 
Image Super-Resolution (I8)
100% 2556
91.3 IPS
 
Text Classification (F32)
100% 994
1.43 KIPS
 
Text Classification (F16)
100% 469
674.5 IPS
 
Text Classification (I8)
96% 616
886.0 IPS
 
Machine Translation (F32)
100% 1384
25.5 IPS
 
Machine Translation (F16)
99% 1808
33.3 IPS
 
Machine Translation (I8)
99% 1354
24.9 IPS
 

Compare

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