Geekbench ML Score

6627
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date May 11 2024 11:49 AM
Views 6

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 GPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 4190
784.1 IPS
 
Image Classification (F16)
100% 4416
826.3 IPS
 
Image Classification (I8)
99% 4062
760.1 IPS
 
Image Segmentation (F32)
100% 2031
33.9 IPS
 
Image Segmentation (F16)
100% 2283
38.1 IPS
 
Image Segmentation (I8)
100% 2203
36.8 IPS
 
Pose Estimation (F32)
100% 26875
32.5 IPS
 
Pose Estimation (F16)
100% 28930
35.0 IPS
 
Pose Estimation (I8)
100% 28170
34.1 IPS
 
Object Detection (F32)
100% 3368
251.4 IPS
 
Object Detection (F16)
100% 3914
292.2 IPS
 
Object Detection (I8)
97% 3395
253.5 IPS
 
Face Detection (F32)
100% 11372
135.2 IPS
 
Face Detection (F16)
98% 14032
166.8 IPS
 
Face Detection (I8)
97% 13590
161.6 IPS
 
Depth Estimation (F32)
100% 19642
152.3 IPS
 
Depth Estimation (F16)
100% 22063
171.1 IPS
 
Depth Estimation (I8)
37% 20194
156.6 IPS
 
Style Transfer (F32)
100% 56581
74.4 IPS
 
Style Transfer (F16)
100% 65206
85.8 IPS
 
Style Transfer (I8)
100% 64699
85.1 IPS
 
Image Super-Resolution (F32)
100% 8947
319.5 IPS
 
Image Super-Resolution (F16)
100% 8451
301.8 IPS
 
Image Super-Resolution (I8)
100% 8602
307.2 IPS
 
Text Classification (F32)
100% 1251
1.80 KIPS
 
Text Classification (F16)
100% 1453
2.09 KIPS
 
Text Classification (I8)
96% 1112
1.60 KIPS
 
Machine Translation (F32)
100% 1040
19.1 IPS
 
Machine Translation (F16)
100% 1051
19.3 IPS
 
Machine Translation (I8)
99% 892
16.4 IPS
 

Compare

Set Baseline Geekbench 6 now available