Geekbench ML Score

1924
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date March 12 2025 03:55 PM
Views 7

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% 938
175.6 IPS
 
Image Classification (F16)
100% 902
168.8 IPS
 
Image Classification (I8)
99% 908
169.9 IPS
 
Image Segmentation (F32)
100% 637
10.6 IPS
 
Image Segmentation (F16)
100% 579
9.67 IPS
 
Image Segmentation (I8)
100% 571
9.54 IPS
 
Pose Estimation (F32)
100% 5446
6.59 IPS
 
Pose Estimation (F16)
100% 9571
11.6 IPS
 
Pose Estimation (I8)
100% 9550
11.6 IPS
 
Object Detection (F32)
100% 1023
76.3 IPS
 
Object Detection (F16)
100% 1043
77.9 IPS
 
Object Detection (I8)
97% 1031
77.0 IPS
 
Face Detection (F32)
100% 1772
21.1 IPS
 
Face Detection (F16)
100% 1618
19.2 IPS
 
Face Detection (I8)
99% 1614
19.2 IPS
 
Depth Estimation (F32)
100% 3247
25.2 IPS
 
Depth Estimation (F16)
99% 3658
28.4 IPS
 
Depth Estimation (I8)
99% 3671
28.5 IPS
 
Style Transfer (F32)
100% 9892
13.0 IPS
 
Style Transfer (F16)
100% 11726
15.4 IPS
 
Style Transfer (I8)
100% 11780
15.5 IPS
 
Image Super-Resolution (F32)
100% 2417
86.3 IPS
 
Image Super-Resolution (F16)
100% 2547
91.0 IPS
 
Image Super-Resolution (I8)
100% 2557
91.3 IPS
 
Text Classification (F32)
100% 980
1.41 KIPS
 
Text Classification (F16)
100% 460
661.8 IPS
 
Text Classification (I8)
96% 609
874.6 IPS
 
Machine Translation (F32)
100% 1351
24.9 IPS
 
Machine Translation (F16)
99% 1773
32.6 IPS
 
Machine Translation (I8)
99% 1338
24.6 IPS
 

Compare

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