Geekbench ML Score

4095
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date July 18 2024 02:52 PM
Views 2

System Information

System Information
Operating System iOS 17.5.1
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% 1728
323.4 IPS
 
Image Classification (F16)
100% 2181
408.2 IPS
 
Image Classification (I8)
99% 2158
403.9 IPS
 
Image Segmentation (F32)
100% 894
14.9 IPS
 
Image Segmentation (F16)
100% 873
14.6 IPS
 
Image Segmentation (I8)
100% 864
14.4 IPS
 
Pose Estimation (F32)
100% 7897
9.56 IPS
 
Pose Estimation (F16)
100% 16434
19.9 IPS
 
Pose Estimation (I8)
100% 16484
20.0 IPS
 
Object Detection (F32)
100% 1662
124.1 IPS
 
Object Detection (F16)
100% 2270
169.5 IPS
 
Object Detection (I8)
97% 1669
124.6 IPS
 
Face Detection (F32)
100% 2946
35.0 IPS
 
Face Detection (F16)
97% 4897
58.2 IPS
 
Face Detection (I8)
97% 4885
58.1 IPS
 
Depth Estimation (F32)
100% 6523
50.6 IPS
 
Depth Estimation (F16)
100% 9758
75.7 IPS
 
Depth Estimation (I8)
99% 9747
75.6 IPS
 
Style Transfer (F32)
100% 20743
27.3 IPS
 
Style Transfer (F16)
100% 30185
39.7 IPS
 
Style Transfer (I8)
100% 30116
39.6 IPS
 
Image Super-Resolution (F32)
100% 5239
187.1 IPS
 
Image Super-Resolution (F16)
100% 6046
215.9 IPS
 
Image Super-Resolution (I8)
100% 6018
214.9 IPS
 
Text Classification (F32)
100% 2929
4.21 KIPS
 
Text Classification (F16)
100% 4788
6.88 KIPS
 
Text Classification (I8)
96% 4804
6.90 KIPS
 
Machine Translation (F32)
100% 1363
25.1 IPS
 
Machine Translation (F16)
100% 1650
30.4 IPS
 
Machine Translation (I8)
99% 1331
24.5 IPS
 

Compare

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