Geekbench ML Score

3567
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date July 10 2024 07:57 PM
Views 1

System Information

System Information
Operating System iOS 17.5.1
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% 1447
270.8 IPS
 
Image Classification (F16)
100% 1880
351.8 IPS
 
Image Classification (I8)
99% 1867
349.4 IPS
 
Image Segmentation (F32)
100% 796
13.3 IPS
 
Image Segmentation (F16)
100% 833
13.9 IPS
 
Image Segmentation (I8)
100% 799
13.3 IPS
 
Pose Estimation (F32)
100% 6364
7.71 IPS
 
Pose Estimation (F16)
100% 14206
17.2 IPS
 
Pose Estimation (I8)
100% 14181
17.2 IPS
 
Object Detection (F32)
100% 1469
109.7 IPS
 
Object Detection (F16)
100% 2013
150.3 IPS
 
Object Detection (I8)
97% 1457
108.8 IPS
 
Face Detection (F32)
100% 2764
32.9 IPS
 
Face Detection (F16)
97% 4396
52.3 IPS
 
Face Detection (I8)
97% 4411
52.4 IPS
 
Depth Estimation (F32)
100% 5587
43.3 IPS
 
Depth Estimation (F16)
100% 8701
67.5 IPS
 
Depth Estimation (I8)
99% 8682
67.3 IPS
 
Style Transfer (F32)
100% 17372
22.9 IPS
 
Style Transfer (F16)
100% 26315
34.6 IPS
 
Style Transfer (I8)
100% 26414
34.7 IPS
 
Image Super-Resolution (F32)
100% 4117
147.0 IPS
 
Image Super-Resolution (F16)
100% 5053
180.4 IPS
 
Image Super-Resolution (I8)
100% 4955
177.0 IPS
 
Text Classification (F32)
100% 2379
3.42 KIPS
 
Text Classification (F16)
100% 3947
5.67 KIPS
 
Text Classification (I8)
96% 3961
5.69 KIPS
 
Machine Translation (F32)
100% 1251
23.0 IPS
 
Machine Translation (F16)
100% 1558
28.7 IPS
 
Machine Translation (I8)
99% 1226
22.6 IPS
 

Compare

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