Geekbench ML Score

7511
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date July 15 2024 01:37 PM
Views 3

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 Neural Engine
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1193
223.2 IPS
 
Image Classification (F16)
100% 6089
1.14 KIPS
 
Image Classification (I8)
99% 6649
1.24 KIPS
 
Image Segmentation (F32)
100% 1389
23.2 IPS
 
Image Segmentation (F16)
100% 1816
30.3 IPS
 
Image Segmentation (I8)
100% 1822
30.4 IPS
 
Pose Estimation (F32)
100% 14767
17.9 IPS
 
Pose Estimation (F16)
100% 85685
103.8 IPS
 
Pose Estimation (I8)
100% 87460
105.9 IPS
 
Object Detection (F32)
100% 1762
131.5 IPS
 
Object Detection (F16)
100% 3885
290.1 IPS
 
Object Detection (I8)
97% 1592
118.9 IPS
 
Face Detection (F32)
100% 6118
72.7 IPS
 
Face Detection (F16)
97% 12563
149.4 IPS
 
Face Detection (I8)
96% 12587
149.7 IPS
 
Depth Estimation (F32)
100% 12217
94.7 IPS
 
Depth Estimation (F16)
100% 36441
282.6 IPS
 
Depth Estimation (I8)
37% 35898
278.4 IPS
 
Style Transfer (F32)
100% 29288
38.5 IPS
 
Style Transfer (F16)
100% 115920
152.5 IPS
 
Style Transfer (I8)
100% 113627
149.5 IPS
 
Image Super-Resolution (F32)
100% 7358
262.8 IPS
 
Image Super-Resolution (F16)
100% 18187
649.5 IPS
 
Image Super-Resolution (I8)
100% 17416
622.0 IPS
 
Text Classification (F32)
100% 2976
4.28 KIPS
 
Text Classification (F16)
100% 5144
7.39 KIPS
 
Text Classification (I8)
96% 5007
7.20 KIPS
 
Machine Translation (F32)
100% 638
11.7 IPS
 
Machine Translation (F16)
100% 1593
29.3 IPS
 
Machine Translation (I8)
99% 644
11.8 IPS
 

Compare

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