Geekbench ML Score

4091
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date May 18 2024 09:10 AM
Views 2

System Information

System Information
Operating System iOS 17.5
Model iPhone 15 Pro
Model IDiPhone16,1
Motherboard D83AP
CPU Information
Name Apple A17 Pro
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.78 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 7.47 GB
Inference Information
Framework Core ML
Backend CPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1711
320.2 IPS
 
Image Classification (F16)
100% 2172
406.4 IPS
 
Image Classification (I8)
99% 2164
404.9 IPS
 
Image Segmentation (F32)
100% 922
15.4 IPS
 
Image Segmentation (F16)
100% 876
14.6 IPS
 
Image Segmentation (I8)
100% 888
14.8 IPS
 
Pose Estimation (F32)
100% 7812
9.46 IPS
 
Pose Estimation (F16)
100% 16366
19.8 IPS
 
Pose Estimation (I8)
100% 16354
19.8 IPS
 
Object Detection (F32)
100% 1665
124.3 IPS
 
Object Detection (F16)
100% 2276
169.9 IPS
 
Object Detection (I8)
97% 1664
124.3 IPS
 
Face Detection (F32)
100% 2924
34.8 IPS
 
Face Detection (F16)
97% 4846
57.6 IPS
 
Face Detection (I8)
97% 4867
57.9 IPS
 
Depth Estimation (F32)
100% 6500
50.4 IPS
 
Depth Estimation (F16)
100% 9734
75.5 IPS
 
Depth Estimation (I8)
99% 9777
75.8 IPS
 
Style Transfer (F32)
100% 20581
27.1 IPS
 
Style Transfer (F16)
100% 30123
39.6 IPS
 
Style Transfer (I8)
100% 30088
39.6 IPS
 
Image Super-Resolution (F32)
100% 5249
187.5 IPS
 
Image Super-Resolution (F16)
100% 5948
212.4 IPS
 
Image Super-Resolution (I8)
100% 5888
210.3 IPS
 
Text Classification (F32)
100% 2933
4.21 KIPS
 
Text Classification (F16)
100% 4811
6.91 KIPS
 
Text Classification (I8)
96% 4802
6.90 KIPS
 
Machine Translation (F32)
100% 1362
25.1 IPS
 
Machine Translation (F16)
100% 1653
30.4 IPS
 
Machine Translation (I8)
99% 1337
24.6 IPS
 

Compare

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