Geekbench ML Score

5969
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date July 18 2024 01:12 PM
Views 1

System Information

System Information
Operating System iOS 18.0
Model iPhone 13 Pro Max
Model IDiPhone14,3
Motherboard D64AP
CPU Information
Name Apple A15 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.23 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 5.51 GB
Inference Information
Framework Core ML
Backend Neural Engine
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1270
237.6 IPS
 
Image Classification (F16)
100% 4769
892.4 IPS
 
Image Classification (I8)
99% 5044
943.9 IPS
 
Image Segmentation (F32)
100% 1147
19.2 IPS
 
Image Segmentation (F16)
100% 1509
25.2 IPS
 
Image Segmentation (I8)
100% 1498
25.0 IPS
 
Pose Estimation (F32)
100% 10977
13.3 IPS
 
Pose Estimation (F16)
100% 75790
91.8 IPS
 
Pose Estimation (I8)
100% 78026
94.5 IPS
 
Object Detection (F32)
100% 1484
110.8 IPS
 
Object Detection (F16)
100% 4056
302.8 IPS
 
Object Detection (I8)
97% 1502
112.1 IPS
 
Face Detection (F32)
100% 4440
52.8 IPS
 
Face Detection (F16)
97% 11220
133.4 IPS
 
Face Detection (I8)
96% 11160
132.7 IPS
 
Depth Estimation (F32)
100% 9155
71.0 IPS
 
Depth Estimation (F16)
100% 36299
281.5 IPS
 
Depth Estimation (I8)
37% 39342
305.1 IPS
 
Style Transfer (F32)
100% 18645
24.5 IPS
 
Style Transfer (F16)
100% 95190
125.2 IPS
 
Style Transfer (I8)
100% 93000
122.3 IPS
 
Image Super-Resolution (F32)
100% 4176
149.1 IPS
 
Image Super-Resolution (F16)
100% 15734
561.9 IPS
 
Image Super-Resolution (I8)
100% 14953
534.0 IPS
 
Text Classification (F32)
100% 2207
3.17 KIPS
 
Text Classification (F16)
100% 2017
2.90 KIPS
 
Text Classification (I8)
96% 2409
3.46 KIPS
 
Machine Translation (F32)
100% 557
10.3 IPS
 
Machine Translation (F16)
100% 1079
19.9 IPS
 
Machine Translation (I8)
99% 536
9.87 IPS
 

Compare

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