Geekbench ML Score

1940
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date January 31 2025 05:48 PM
Views 4

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% 944
176.6 IPS
 
Image Classification (F16)
100% 915
171.2 IPS
 
Image Classification (I8)
99% 921
172.3 IPS
 
Image Segmentation (F32)
100% 640
10.7 IPS
 
Image Segmentation (F16)
100% 580
9.68 IPS
 
Image Segmentation (I8)
100% 575
9.60 IPS
 
Pose Estimation (F32)
100% 5488
6.65 IPS
 
Pose Estimation (F16)
100% 9624
11.7 IPS
 
Pose Estimation (I8)
100% 9577
11.6 IPS
 
Object Detection (F32)
100% 1028
76.8 IPS
 
Object Detection (F16)
100% 1047
78.2 IPS
 
Object Detection (I8)
97% 1038
77.5 IPS
 
Face Detection (F32)
100% 1763
21.0 IPS
 
Face Detection (F16)
100% 1622
19.3 IPS
 
Face Detection (I8)
99% 1621
19.3 IPS
 
Depth Estimation (F32)
100% 3337
25.9 IPS
 
Depth Estimation (F16)
99% 3654
28.3 IPS
 
Depth Estimation (I8)
99% 3663
28.4 IPS
 
Style Transfer (F32)
100% 9991
13.1 IPS
 
Style Transfer (F16)
100% 11873
15.6 IPS
 
Style Transfer (I8)
100% 11748
15.5 IPS
 
Image Super-Resolution (F32)
100% 2412
86.1 IPS
 
Image Super-Resolution (F16)
100% 2566
91.7 IPS
 
Image Super-Resolution (I8)
100% 2574
91.9 IPS
 
Text Classification (F32)
100% 988
1.42 KIPS
 
Text Classification (F16)
100% 485
697.1 IPS
 
Text Classification (I8)
96% 623
895.2 IPS
 
Machine Translation (F32)
100% 1358
25.0 IPS
 
Machine Translation (F16)
99% 1790
32.9 IPS
 
Machine Translation (I8)
99% 1348
24.8 IPS
 

Compare

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