Geekbench ML Score

6426
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

User karen_he
Upload Date June 11 2024 07:10 PM
Views 2

System Information

System Information
Operating System iOS 17.5.1
Model iPad16,6
Model IDiPad16,6
Motherboard J721AP
CPU Information
Name ARM
Topology 1 Processor, 10 Cores
Identifier ARM
Base Frequency 4.44 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 15.05 GB
Inference Information
Framework Core ML
Backend GPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 4246
794.5 IPS
 
Image Classification (F16)
100% 4617
864.0 IPS
 
Image Classification (I8)
99% 4092
765.8 IPS
 
Image Segmentation (F32)
100% 1955
32.6 IPS
 
Image Segmentation (F16)
100% 2164
36.1 IPS
 
Image Segmentation (I8)
100% 2234
37.3 IPS
 
Pose Estimation (F32)
100% 27280
33.0 IPS
 
Pose Estimation (F16)
100% 28675
34.7 IPS
 
Pose Estimation (I8)
100% 28292
34.3 IPS
 
Object Detection (F32)
100% 3569
266.4 IPS
 
Object Detection (F16)
100% 3848
287.3 IPS
 
Object Detection (I8)
97% 2305
172.1 IPS
 
Face Detection (F32)
100% 9797
116.5 IPS
 
Face Detection (F16)
98% 14129
168.0 IPS
 
Face Detection (I8)
97% 13724
163.2 IPS
 
Depth Estimation (F32)
100% 19651
152.4 IPS
 
Depth Estimation (F16)
100% 21915
169.9 IPS
 
Depth Estimation (I8)
37% 13377
103.7 IPS
 
Style Transfer (F32)
100% 55332
72.8 IPS
 
Style Transfer (F16)
100% 65634
86.3 IPS
 
Style Transfer (I8)
100% 64972
85.5 IPS
 
Image Super-Resolution (F32)
100% 12076
431.3 IPS
 
Image Super-Resolution (F16)
100% 13441
480.0 IPS
 
Image Super-Resolution (I8)
100% 12610
450.3 IPS
 
Text Classification (F32)
100% 744
1.07 KIPS
 
Text Classification (F16)
100% 809
1.16 KIPS
 
Text Classification (I8)
96% 929
1.33 KIPS
 
Machine Translation (F32)
100% 1084
19.9 IPS
 
Machine Translation (F16)
100% 1047
19.3 IPS
 
Machine Translation (I8)
99% 973
17.9 IPS
 

Compare

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