Geekbench ML Score

6043
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date May 18 2024 08:55 AM
Views 2

System Information

System Information
Operating System iOS 17.5
Model iPhone 15 Pro Max
Model IDiPhone16,2
Motherboard D84AP
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 7.44 GB
Inference Information
Framework Core ML
Backend Neural Engine
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1782
333.5 IPS
 
Image Classification (F16)
100% 6309
1.18 KIPS
 
Image Classification (I8)
99% 6809
1.27 KIPS
 
Image Segmentation (F32)
100% 1410
23.5 IPS
 
Image Segmentation (F16)
100% 1809
30.2 IPS
 
Image Segmentation (I8)
100% 1519
25.4 IPS
 
Pose Estimation (F32)
100% 14447
17.5 IPS
 
Pose Estimation (F16)
100% 82603
100.0 IPS
 
Pose Estimation (I8)
100% 86207
104.4 IPS
 
Object Detection (F32)
100% 2362
176.3 IPS
 
Object Detection (F16)
100% 3873
289.1 IPS
 
Object Detection (I8)
97% 2015
150.5 IPS
 
Face Detection (F32)
100% 6269
74.5 IPS
 
Face Detection (F16)
97% 10631
126.4 IPS
 
Face Detection (I8)
96% 10564
125.6 IPS
 
Depth Estimation (F32)
100% 12054
93.5 IPS
 
Depth Estimation (F16)
100% 34978
271.3 IPS
 
Depth Estimation (I8)
37% 37459
290.5 IPS
 
Style Transfer (F32)
100% 27066
35.6 IPS
 
Style Transfer (F16)
100% 124966
164.4 IPS
 
Style Transfer (I8)
100% 122434
161.1 IPS
 
Image Super-Resolution (F32)
100% 6893
246.2 IPS
 
Image Super-Resolution (F16)
100% 18534
661.9 IPS
 
Image Super-Resolution (I8)
100% 17924
640.1 IPS
 
Text Classification (F32)
100% 447
642.2 IPS
 
Text Classification (F16)
100% 486
697.9 IPS
 
Text Classification (I8)
96% 297
426.8 IPS
 
Machine Translation (F32)
100% 735
13.5 IPS
 
Machine Translation (F16)
100% 1479
27.2 IPS
 
Machine Translation (I8)
99% 659
12.1 IPS
 

Compare

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