Geekbench ML Score

1901
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date June 17 2025 04:41 PM
Views 5

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% 943
176.5 IPS
 
Image Classification (F16)
100% 910
170.3 IPS
 
Image Classification (I8)
99% 919
171.9 IPS
 
Image Segmentation (F32)
100% 626
10.5 IPS
 
Image Segmentation (F16)
100% 566
9.46 IPS
 
Image Segmentation (I8)
100% 560
9.35 IPS
 
Pose Estimation (F32)
100% 5332
6.46 IPS
 
Pose Estimation (F16)
100% 9516
11.5 IPS
 
Pose Estimation (I8)
100% 9594
11.6 IPS
 
Object Detection (F32)
100% 1029
76.8 IPS
 
Object Detection (F16)
100% 1041
77.7 IPS
 
Object Detection (I8)
97% 1028
76.7 IPS
 
Face Detection (F32)
100% 1712
20.4 IPS
 
Face Detection (F16)
100% 1544
18.4 IPS
 
Face Detection (I8)
99% 1533
18.2 IPS
 
Depth Estimation (F32)
100% 3233
25.1 IPS
 
Depth Estimation (F16)
99% 3652
28.3 IPS
 
Depth Estimation (I8)
99% 3570
27.7 IPS
 
Style Transfer (F32)
100% 9749
12.8 IPS
 
Style Transfer (F16)
100% 11707
15.4 IPS
 
Style Transfer (I8)
100% 11282
14.8 IPS
 
Image Super-Resolution (F32)
100% 2332
83.3 IPS
 
Image Super-Resolution (F16)
100% 2546
90.9 IPS
 
Image Super-Resolution (I8)
100% 2549
91.0 IPS
 
Text Classification (F32)
100% 1000
1.44 KIPS
 
Text Classification (F16)
100% 460
661.5 IPS
 
Text Classification (I8)
96% 613
880.3 IPS
 
Machine Translation (F32)
100% 1340
24.7 IPS
 
Machine Translation (F16)
99% 1707
31.4 IPS
 
Machine Translation (I8)
99% 1303
24.0 IPS
 

Compare

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