Geekbench ML Score

4676
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date June 17 2024 04:31 PM
Views 1

System Information

System Information
Operating System iOS 18.0
Model iPhone 15 Pro Max
Model IDiPhone16,2
Motherboard D84AP
CPU Information
Name Apple A17 Pro
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.78 GHz
Cluster 12 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 7.48 GB
Inference Information
Framework Core ML
Backend GPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1692
316.6 IPS
 
Image Classification (F16)
100% 2447
458.0 IPS
 
Image Classification (I8)
99% 1800
336.8 IPS
 
Image Segmentation (F32)
100% 1373
22.9 IPS
 
Image Segmentation (F16)
100% 1562
26.1 IPS
 
Image Segmentation (I8)
100% 1569
26.2 IPS
 
Pose Estimation (F32)
100% 14436
17.5 IPS
 
Pose Estimation (F16)
100% 15683
19.0 IPS
 
Pose Estimation (I8)
100% 15352
18.6 IPS
 
Object Detection (F32)
100% 1472
109.9 IPS
 
Object Detection (F16)
100% 1599
119.4 IPS
 
Object Detection (I8)
97% 1933
144.3 IPS
 
Face Detection (F32)
100% 6135
72.9 IPS
 
Face Detection (F16)
98% 8628
102.6 IPS
 
Face Detection (I8)
97% 8865
105.4 IPS
 
Depth Estimation (F32)
100% 12087
93.7 IPS
 
Depth Estimation (F16)
100% 13682
106.1 IPS
 
Depth Estimation (I8)
99% 12722
98.7 IPS
 
Style Transfer (F32)
100% 28708
37.8 IPS
 
Style Transfer (F16)
100% 34999
46.0 IPS
 
Style Transfer (I8)
100% 35513
46.7 IPS
 
Image Super-Resolution (F32)
100% 6936
247.7 IPS
 
Image Super-Resolution (F16)
100% 7829
279.6 IPS
 
Image Super-Resolution (I8)
100% 7613
271.9 IPS
 
Text Classification (F32)
100% 2991
4.30 KIPS
 
Text Classification (F16)
100% 5174
7.44 KIPS
 
Text Classification (I8)
96% 5171
7.43 KIPS
 
Machine Translation (F32)
100% 645
11.9 IPS
 
Machine Translation (F16)
100% 653
12.0 IPS
 
Machine Translation (I8)
99% 644
11.8 IPS
 

Compare

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