Geekbench ML Score

5164
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date July 25 2024 11:17 PM
Views 1

System Information

System Information
Operating System iOS 18.0
Model iPad14,10
Model IDiPad14,10
Motherboard J537AP
CPU Information
Name ARM
Topology 1 Processor, 8 Cores
Identifier ARM
Base Frequency 3.48 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 7.45 GB
Inference Information
Framework Core ML
Backend GPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 2811
526.1 IPS
 
Image Classification (F16)
100% 2883
539.5 IPS
 
Image Classification (I8)
99% 2535
474.3 IPS
 
Image Segmentation (F32)
100% 1392
23.3 IPS
 
Image Segmentation (F16)
100% 1441
24.1 IPS
 
Image Segmentation (I8)
100% 1445
24.1 IPS
 
Pose Estimation (F32)
100% 20707
25.1 IPS
 
Pose Estimation (F16)
100% 22546
27.3 IPS
 
Pose Estimation (I8)
100% 21857
26.5 IPS
 
Object Detection (F32)
100% 2084
155.6 IPS
 
Object Detection (F16)
100% 2631
196.4 IPS
 
Object Detection (I8)
97% 2035
151.9 IPS
 
Face Detection (F32)
100% 8534
101.5 IPS
 
Face Detection (F16)
98% 9491
112.9 IPS
 
Face Detection (I8)
97% 9245
109.9 IPS
 
Depth Estimation (F32)
100% 14921
115.7 IPS
 
Depth Estimation (F16)
100% 16347
126.8 IPS
 
Depth Estimation (I8)
99% 14438
112.0 IPS
 
Style Transfer (F32)
100% 36699
48.3 IPS
 
Style Transfer (F16)
100% 42848
56.4 IPS
 
Style Transfer (I8)
100% 42645
56.1 IPS
 
Image Super-Resolution (F32)
100% 6759
241.4 IPS
 
Image Super-Resolution (F16)
100% 5853
209.0 IPS
 
Image Super-Resolution (I8)
100% 7210
257.5 IPS
 
Text Classification (F32)
100% 2035
2.92 KIPS
 
Text Classification (F16)
100% 3334
4.79 KIPS
 
Text Classification (I8)
96% 3322
4.77 KIPS
 
Machine Translation (F32)
100% 767
14.1 IPS
 
Machine Translation (F16)
100% 769
14.1 IPS
 
Machine Translation (I8)
99% 542
9.97 IPS
 

Compare

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