Geekbench ML Score

7647
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date June 17 2024 04:35 PM
Views 1

System Information

System Information
Operating System iOS 18.0
Model iPhone 15 Pro
Model IDiPhone16,1
Motherboard D83AP
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 7.51 GB
Inference Information
Framework Core ML
Backend Neural Engine
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1475
276.0 IPS
 
Image Classification (F16)
100% 6110
1.14 KIPS
 
Image Classification (I8)
99% 6630
1.24 KIPS
 
Image Segmentation (F32)
100% 1453
24.3 IPS
 
Image Segmentation (F16)
100% 1895
31.6 IPS
 
Image Segmentation (I8)
100% 1867
31.2 IPS
 
Pose Estimation (F32)
100% 14820
17.9 IPS
 
Pose Estimation (F16)
100% 87660
106.2 IPS
 
Pose Estimation (I8)
100% 89461
108.3 IPS
 
Object Detection (F32)
100% 1609
120.1 IPS
 
Object Detection (F16)
100% 3901
291.2 IPS
 
Object Detection (I8)
97% 2321
173.3 IPS
 
Face Detection (F32)
100% 6019
71.6 IPS
 
Face Detection (F16)
97% 12746
151.5 IPS
 
Face Detection (I8)
96% 12679
150.8 IPS
 
Depth Estimation (F32)
100% 12310
95.5 IPS
 
Depth Estimation (F16)
100% 35525
275.5 IPS
 
Depth Estimation (I8)
37% 36722
284.8 IPS
 
Style Transfer (F32)
100% 29972
39.4 IPS
 
Style Transfer (F16)
100% 117941
155.1 IPS
 
Style Transfer (I8)
100% 115401
151.8 IPS
 
Image Super-Resolution (F32)
100% 7135
254.8 IPS
 
Image Super-Resolution (F16)
100% 17840
637.1 IPS
 
Image Super-Resolution (I8)
100% 17276
617.0 IPS
 
Text Classification (F32)
100% 2888
4.15 KIPS
 
Text Classification (F16)
100% 4883
7.02 KIPS
 
Text Classification (I8)
96% 4899
7.04 KIPS
 
Machine Translation (F32)
100% 638
11.7 IPS
 
Machine Translation (F16)
100% 1580
29.1 IPS
 
Machine Translation (I8)
99% 630
11.6 IPS
 

Compare

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