Geekbench ML Score

3605
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

User morglor
Upload Date April 03 2024 02:41 AM
Views 4

System Information

System Information
Operating System iOS 17.4.1
Model iPhone 14 Pro
Model IDiPhone15,2
Motherboard D73AP
CPU Information
Name Apple A16 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.46 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 5.50 GB
Inference Information
Framework Core ML
Backend CPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1442
269.9 IPS
 
Image Classification (F16)
100% 1853
346.7 IPS
 
Image Classification (I8)
99% 1866
349.1 IPS
 
Image Segmentation (F32)
100% 802
13.4 IPS
 
Image Segmentation (F16)
100% 812
13.6 IPS
 
Image Segmentation (I8)
100% 804
13.4 IPS
 
Pose Estimation (F32)
100% 6339
7.68 IPS
 
Pose Estimation (F16)
100% 14317
17.3 IPS
 
Pose Estimation (I8)
100% 14268
17.3 IPS
 
Object Detection (F32)
100% 1446
108.0 IPS
 
Object Detection (F16)
100% 2008
149.9 IPS
 
Object Detection (I8)
97% 1448
108.1 IPS
 
Face Detection (F32)
100% 2780
33.1 IPS
 
Face Detection (F16)
97% 4442
52.8 IPS
 
Face Detection (I8)
97% 4432
52.7 IPS
 
Depth Estimation (F32)
100% 5654
43.8 IPS
 
Depth Estimation (F16)
100% 8818
68.4 IPS
 
Depth Estimation (I8)
99% 8790
68.2 IPS
 
Style Transfer (F32)
100% 17715
23.3 IPS
 
Style Transfer (F16)
100% 26918
35.4 IPS
 
Style Transfer (I8)
100% 26930
35.4 IPS
 
Image Super-Resolution (F32)
100% 4112
146.8 IPS
 
Image Super-Resolution (F16)
100% 5199
185.7 IPS
 
Image Super-Resolution (I8)
100% 5338
190.6 IPS
 
Text Classification (F32)
100% 2431
3.49 KIPS
 
Text Classification (F16)
100% 4125
5.93 KIPS
 
Text Classification (I8)
96% 3975
5.71 KIPS
 
Machine Translation (F32)
100% 1311
24.1 IPS
 
Machine Translation (F16)
100% 1567
28.8 IPS
 
Machine Translation (I8)
99% 1251
23.0 IPS
 

Compare

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