Geekbench ML Score

7009
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date May 16 2024 02:19 AM
Views 1

System Information

System Information
Operating System iOS 17.5
Model iPad14,8
Model IDiPad14,8
Motherboard J507AP
CPU Information
Name ARM
Topology 1 Processor, 8 Cores
Identifier ARM
Base Frequency 3.47 GHz
Cluster 14 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 7.47 GB
Inference Information
Framework Core ML
Backend Neural Engine
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 2831
529.8 IPS
 
Image Classification (F16)
100% 6458
1.21 KIPS
 
Image Classification (I8)
99% 6799
1.27 KIPS
 
Image Segmentation (F32)
100% 1386
23.2 IPS
 
Image Segmentation (F16)
100% 1594
26.6 IPS
 
Image Segmentation (I8)
100% 1580
26.4 IPS
 
Pose Estimation (F32)
100% 21238
25.7 IPS
 
Pose Estimation (F16)
100% 80604
97.6 IPS
 
Pose Estimation (I8)
100% 83929
101.6 IPS
 
Object Detection (F32)
100% 2686
200.6 IPS
 
Object Detection (F16)
100% 3605
269.1 IPS
 
Object Detection (I8)
97% 2497
186.4 IPS
 
Face Detection (F32)
100% 8876
105.5 IPS
 
Face Detection (F16)
97% 10659
126.7 IPS
 
Face Detection (I8)
96% 10733
127.6 IPS
 
Depth Estimation (F32)
100% 15351
119.0 IPS
 
Depth Estimation (F16)
100% 35486
275.2 IPS
 
Depth Estimation (I8)
37% 35837
277.9 IPS
 
Style Transfer (F32)
100% 37341
49.1 IPS
 
Style Transfer (F16)
100% 133249
175.3 IPS
 
Style Transfer (I8)
100% 132051
173.7 IPS
 
Image Super-Resolution (F32)
100% 6046
215.9 IPS
 
Image Super-Resolution (F16)
100% 18437
658.4 IPS
 
Image Super-Resolution (I8)
100% 17034
608.3 IPS
 
Text Classification (F32)
100% 1111
1.60 KIPS
 
Text Classification (F16)
100% 741
1.07 KIPS
 
Text Classification (I8)
96% 740
1.06 KIPS
 
Machine Translation (F32)
100% 629
11.6 IPS
 
Machine Translation (F16)
100% 2619
48.2 IPS
 
Machine Translation (I8)
99% 627
11.5 IPS
 

Compare

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