Geekbench ML Score

3549
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date June 17 2024 04:29 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% 1444
270.2 IPS
 
Image Classification (F16)
100% 1853
346.7 IPS
 
Image Classification (I8)
99% 1873
350.4 IPS
 
Image Segmentation (F32)
100% 800
13.4 IPS
 
Image Segmentation (F16)
100% 804
13.4 IPS
 
Image Segmentation (I8)
100% 799
13.3 IPS
 
Pose Estimation (F32)
100% 6368
7.71 IPS
 
Pose Estimation (F16)
100% 14078
17.0 IPS
 
Pose Estimation (I8)
100% 14168
17.2 IPS
 
Object Detection (F32)
100% 1454
108.6 IPS
 
Object Detection (F16)
100% 1991
148.6 IPS
 
Object Detection (I8)
97% 1449
108.1 IPS
 
Face Detection (F32)
100% 2776
33.0 IPS
 
Face Detection (F16)
97% 4409
52.4 IPS
 
Face Detection (I8)
97% 4401
52.3 IPS
 
Depth Estimation (F32)
100% 5593
43.4 IPS
 
Depth Estimation (F16)
100% 8636
67.0 IPS
 
Depth Estimation (I8)
99% 8651
67.1 IPS
 
Style Transfer (F32)
100% 17354
22.8 IPS
 
Style Transfer (F16)
100% 26354
34.7 IPS
 
Style Transfer (I8)
100% 26371
34.7 IPS
 
Image Super-Resolution (F32)
100% 4037
144.2 IPS
 
Image Super-Resolution (F16)
100% 5010
178.9 IPS
 
Image Super-Resolution (I8)
100% 4909
175.3 IPS
 
Text Classification (F32)
100% 2379
3.42 KIPS
 
Text Classification (F16)
100% 3932
5.65 KIPS
 
Text Classification (I8)
96% 3958
5.69 KIPS
 
Machine Translation (F32)
100% 1231
22.7 IPS
 
Machine Translation (F16)
100% 1557
28.6 IPS
 
Machine Translation (I8)
99% 1220
22.4 IPS
 

Compare

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