Geekbench ML Score

3935
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date July 15 2024 03:52 PM
Views 1

System Information

System Information
Operating System iOS 18.0
Model iPhone 14 Pro Max
Model IDiPhone15,3
Motherboard D74AP
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% 1382
258.6 IPS
 
Image Classification (F16)
100% 2486
465.2 IPS
 
Image Classification (I8)
99% 2480
464.0 IPS
 
Image Segmentation (F32)
100% 840
14.0 IPS
 
Image Segmentation (F16)
100% 1050
17.5 IPS
 
Image Segmentation (I8)
100% 1050
17.5 IPS
 
Pose Estimation (F32)
100% 6474
7.84 IPS
 
Pose Estimation (F16)
100% 14788
17.9 IPS
 
Pose Estimation (I8)
100% 14608
17.7 IPS
 
Object Detection (F32)
100% 1453
108.4 IPS
 
Object Detection (F16)
100% 2433
181.7 IPS
 
Object Detection (I8)
97% 1451
108.3 IPS
 
Face Detection (F32)
100% 2854
33.9 IPS
 
Face Detection (F16)
97% 5777
68.7 IPS
 
Face Detection (I8)
97% 5731
68.1 IPS
 
Depth Estimation (F32)
100% 6130
47.5 IPS
 
Depth Estimation (F16)
100% 12111
93.9 IPS
 
Depth Estimation (I8)
99% 12290
95.3 IPS
 
Style Transfer (F32)
100% 18383
24.2 IPS
 
Style Transfer (F16)
100% 27592
36.3 IPS
 
Style Transfer (I8)
100% 27629
36.3 IPS
 
Image Super-Resolution (F32)
100% 4432
158.3 IPS
 
Image Super-Resolution (F16)
100% 5085
181.6 IPS
 
Image Super-Resolution (I8)
100% 4997
178.5 IPS
 
Text Classification (F32)
100% 2428
3.49 KIPS
 
Text Classification (F16)
100% 4190
6.02 KIPS
 
Text Classification (I8)
96% 4196
6.03 KIPS
 
Machine Translation (F32)
100% 1207
22.2 IPS
 
Machine Translation (F16)
100% 1494
27.5 IPS
 
Machine Translation (I8)
99% 1195
22.0 IPS
 

Compare

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