Geekbench ML Score

1929
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date February 19 2025 09:59 PM
Views 6

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% 961
179.9 IPS
 
Image Classification (F16)
100% 908
169.9 IPS
 
Image Classification (I8)
99% 913
170.8 IPS
 
Image Segmentation (F32)
100% 637
10.6 IPS
 
Image Segmentation (F16)
100% 576
9.62 IPS
 
Image Segmentation (I8)
100% 576
9.62 IPS
 
Pose Estimation (F32)
100% 5455
6.61 IPS
 
Pose Estimation (F16)
100% 9648
11.7 IPS
 
Pose Estimation (I8)
100% 9616
11.6 IPS
 
Object Detection (F32)
100% 1023
76.4 IPS
 
Object Detection (F16)
100% 1039
77.6 IPS
 
Object Detection (I8)
97% 1040
77.7 IPS
 
Face Detection (F32)
100% 1772
21.1 IPS
 
Face Detection (F16)
100% 1617
19.2 IPS
 
Face Detection (I8)
99% 1608
19.1 IPS
 
Depth Estimation (F32)
100% 3309
25.7 IPS
 
Depth Estimation (F16)
99% 3667
28.4 IPS
 
Depth Estimation (I8)
99% 3653
28.3 IPS
 
Style Transfer (F32)
100% 9865
13.0 IPS
 
Style Transfer (F16)
100% 11753
15.5 IPS
 
Style Transfer (I8)
100% 11772
15.5 IPS
 
Image Super-Resolution (F32)
100% 2421
86.4 IPS
 
Image Super-Resolution (F16)
100% 2560
91.4 IPS
 
Image Super-Resolution (I8)
100% 2558
91.3 IPS
 
Text Classification (F32)
100% 996
1.43 KIPS
 
Text Classification (F16)
100% 465
668.6 IPS
 
Text Classification (I8)
96% 632
908.8 IPS
 
Machine Translation (F32)
100% 1302
24.0 IPS
 
Machine Translation (F16)
99% 1735
31.9 IPS
 
Machine Translation (I8)
99% 1337
24.6 IPS
 

Compare

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