Geekbench ML Score

1884
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date January 17 2025 04:14 PM
Views 3

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% 908
170.0 IPS
 
Image Classification (F16)
100% 832
155.7 IPS
 
Image Classification (I8)
99% 895
167.6 IPS
 
Image Segmentation (F32)
100% 592
9.89 IPS
 
Image Segmentation (F16)
100% 502
8.38 IPS
 
Image Segmentation (I8)
100% 526
8.78 IPS
 
Pose Estimation (F32)
100% 5242
6.35 IPS
 
Pose Estimation (F16)
100% 9543
11.6 IPS
 
Pose Estimation (I8)
100% 9407
11.4 IPS
 
Object Detection (F32)
100% 993
74.2 IPS
 
Object Detection (F16)
100% 1031
77.0 IPS
 
Object Detection (I8)
97% 1026
76.6 IPS
 
Face Detection (F32)
100% 1730
20.6 IPS
 
Face Detection (F16)
100% 1544
18.4 IPS
 
Face Detection (I8)
99% 1541
18.3 IPS
 
Depth Estimation (F32)
100% 3239
25.1 IPS
 
Depth Estimation (F16)
99% 3662
28.4 IPS
 
Depth Estimation (I8)
99% 3650
28.3 IPS
 
Style Transfer (F32)
100% 9833
12.9 IPS
 
Style Transfer (F16)
100% 11692
15.4 IPS
 
Style Transfer (I8)
100% 11666
15.3 IPS
 
Image Super-Resolution (F32)
100% 2429
86.8 IPS
 
Image Super-Resolution (F16)
100% 2564
91.6 IPS
 
Image Super-Resolution (I8)
100% 2564
91.6 IPS
 
Text Classification (F32)
100% 999
1.44 KIPS
 
Text Classification (F16)
100% 464
667.1 IPS
 
Text Classification (I8)
96% 611
878.8 IPS
 
Machine Translation (F32)
100% 1360
25.0 IPS
 
Machine Translation (F16)
99% 1755
32.3 IPS
 
Machine Translation (I8)
99% 1333
24.5 IPS
 

Compare

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