Geekbench ML Score

8611
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date May 11 2024 11:47 AM
Views 5

System Information

System Information
Operating System iOS 17.5
Model iPad16,4
Model IDiPad16,4
Motherboard J718AP
CPU Information
Name ARM
Topology 1 Processor, 10 Cores
Identifier ARM
Base Frequency 4.40 GHz
Cluster 14 Cores
Cluster 26 Cores
L1 Instruction Cache128 KB x 1
L1 Data Cache64.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 15.13 GB
Inference Information
Framework Core ML
Backend Neural Engine
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 4185
783.2 IPS
 
Image Classification (F16)
100% 5810
1.09 KIPS
 
Image Classification (I8)
99% 7790
1.46 KIPS
 
Image Segmentation (F32)
100% 1987
33.2 IPS
 
Image Segmentation (F16)
100% 2302
38.5 IPS
 
Image Segmentation (I8)
100% 2276
38.0 IPS
 
Pose Estimation (F32)
100% 27013
32.7 IPS
 
Pose Estimation (F16)
100% 89514
108.4 IPS
 
Pose Estimation (I8)
100% 93955
113.8 IPS
 
Object Detection (F32)
100% 3661
273.3 IPS
 
Object Detection (F16)
100% 4764
355.7 IPS
 
Object Detection (I8)
97% 3395
253.4 IPS
 
Face Detection (F32)
100% 11386
135.4 IPS
 
Face Detection (F16)
97% 12851
152.8 IPS
 
Face Detection (I8)
96% 13304
158.2 IPS
 
Depth Estimation (F32)
100% 19794
153.5 IPS
 
Depth Estimation (F16)
100% 40114
311.1 IPS
 
Depth Estimation (I8)
37% 40747
316.0 IPS
 
Style Transfer (F32)
100% 55414
72.9 IPS
 
Style Transfer (F16)
100% 104698
137.7 IPS
 
Style Transfer (I8)
100% 103891
136.7 IPS
 
Image Super-Resolution (F32)
100% 8630
308.2 IPS
 
Image Super-Resolution (F16)
100% 20868
745.3 IPS
 
Image Super-Resolution (I8)
100% 18785
670.9 IPS
 
Text Classification (F32)
100% 1372
1.97 KIPS
 
Text Classification (F16)
100% 1398
2.01 KIPS
 
Text Classification (I8)
96% 1033
1.49 KIPS
 
Machine Translation (F32)
100% 1055
19.4 IPS
 
Machine Translation (F16)
100% 1755
32.3 IPS
 
Machine Translation (I8)
99% 902
16.6 IPS
 

Compare

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