Geekbench ML Score

4657
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

User gshaw1967
Upload Date May 16 2024 02:26 AM
Views 4

System Information

System Information
Operating System iOS 17.5
Model iPad16,6
Model IDiPad16,6
Motherboard J721AP
CPU Information
Name ARM
Topology 1 Processor, 9 Cores
Identifier ARM
Base Frequency 4.39 GHz
Cluster 13 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 7.20 GB
Inference Information
Framework Core ML
Backend CPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1881
352.1 IPS
 
Image Classification (F16)
100% 2525
472.6 IPS
 
Image Classification (I8)
99% 2508
469.4 IPS
 
Image Segmentation (F32)
100% 1196
20.0 IPS
 
Image Segmentation (F16)
100% 1163
19.4 IPS
 
Image Segmentation (I8)
100% 1157
19.3 IPS
 
Pose Estimation (F32)
100% 9496
11.5 IPS
 
Pose Estimation (F16)
100% 17933
21.7 IPS
 
Pose Estimation (I8)
100% 17915
21.7 IPS
 
Object Detection (F32)
100% 1904
142.2 IPS
 
Object Detection (F16)
100% 2599
194.0 IPS
 
Object Detection (I8)
97% 1908
142.5 IPS
 
Face Detection (F32)
100% 3540
42.1 IPS
 
Face Detection (F16)
97% 5542
65.9 IPS
 
Face Detection (I8)
97% 5564
66.2 IPS
 
Depth Estimation (F32)
100% 7510
58.2 IPS
 
Depth Estimation (F16)
100% 11035
85.6 IPS
 
Depth Estimation (I8)
99% 11096
86.1 IPS
 
Style Transfer (F32)
100% 23405
30.8 IPS
 
Style Transfer (F16)
100% 34299
45.1 IPS
 
Style Transfer (I8)
100% 34246
45.0 IPS
 
Image Super-Resolution (F32)
100% 5871
209.7 IPS
 
Image Super-Resolution (F16)
100% 6829
243.9 IPS
 
Image Super-Resolution (I8)
100% 6821
243.6 IPS
 
Text Classification (F32)
100% 2768
3.98 KIPS
 
Text Classification (F16)
100% 4484
6.44 KIPS
 
Text Classification (I8)
96% 4450
6.40 KIPS
 
Machine Translation (F32)
100% 1614
29.7 IPS
 
Machine Translation (F16)
100% 1856
34.1 IPS
 
Machine Translation (I8)
99% 1610
29.6 IPS
 

Compare

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