Geekbench ML Score

1793
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date July 03 2025 06:33 PM
Views 1

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% 902
168.7 IPS
 
Image Classification (F16)
100% 850
159.1 IPS
 
Image Classification (I8)
99% 834
156.1 IPS
 
Image Segmentation (F32)
100% 564
9.42 IPS
 
Image Segmentation (F16)
100% 497
8.30 IPS
 
Image Segmentation (I8)
100% 492
8.22 IPS
 
Pose Estimation (F32)
100% 5007
6.06 IPS
 
Pose Estimation (F16)
100% 9471
11.5 IPS
 
Pose Estimation (I8)
100% 9079
11.0 IPS
 
Object Detection (F32)
100% 959
71.6 IPS
 
Object Detection (F16)
100% 989
73.9 IPS
 
Object Detection (I8)
97% 964
72.0 IPS
 
Face Detection (F32)
100% 1628
19.4 IPS
 
Face Detection (F16)
100% 1449
17.2 IPS
 
Face Detection (I8)
99% 1420
16.9 IPS
 
Depth Estimation (F32)
100% 3038
23.6 IPS
 
Depth Estimation (F16)
99% 3384
26.2 IPS
 
Depth Estimation (I8)
99% 3392
26.3 IPS
 
Style Transfer (F32)
100% 9308
12.2 IPS
 
Style Transfer (F16)
100% 10612
14.0 IPS
 
Style Transfer (I8)
100% 10623
14.0 IPS
 
Image Super-Resolution (F32)
100% 2275
81.3 IPS
 
Image Super-Resolution (F16)
100% 2485
88.7 IPS
 
Image Super-Resolution (I8)
100% 2439
87.1 IPS
 
Text Classification (F32)
100% 979
1.41 KIPS
 
Text Classification (F16)
100% 454
653.2 IPS
 
Text Classification (I8)
96% 594
854.0 IPS
 
Machine Translation (F32)
100% 1279
23.5 IPS
 
Machine Translation (F16)
99% 1622
29.9 IPS
 
Machine Translation (I8)
99% 1262
23.2 IPS
 

Compare

Set Baseline Geekbench 6 now available