Geekbench ML Score

7592
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date July 19 2024 06:32 AM
Views 2

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% 1439
269.3 IPS
 
Image Classification (F16)
100% 6124
1.15 KIPS
 
Image Classification (I8)
99% 6648
1.24 KIPS
 
Image Segmentation (F32)
100% 1329
22.2 IPS
 
Image Segmentation (F16)
100% 1807
30.2 IPS
 
Image Segmentation (I8)
100% 1789
29.9 IPS
 
Pose Estimation (F32)
100% 14554
17.6 IPS
 
Pose Estimation (F16)
100% 85840
103.9 IPS
 
Pose Estimation (I8)
100% 84044
101.8 IPS
 
Object Detection (F32)
100% 1714
128.0 IPS
 
Object Detection (F16)
100% 3694
275.8 IPS
 
Object Detection (I8)
97% 1754
130.9 IPS
 
Face Detection (F32)
100% 6255
74.4 IPS
 
Face Detection (F16)
97% 12554
149.3 IPS
 
Face Detection (I8)
96% 12484
148.4 IPS
 
Depth Estimation (F32)
100% 12088
93.7 IPS
 
Depth Estimation (F16)
100% 36234
281.0 IPS
 
Depth Estimation (I8)
37% 51702
400.9 IPS
 
Style Transfer (F32)
100% 27673
36.4 IPS
 
Style Transfer (F16)
100% 115915
152.5 IPS
 
Style Transfer (I8)
100% 111615
146.8 IPS
 
Image Super-Resolution (F32)
100% 7041
251.5 IPS
 
Image Super-Resolution (F16)
100% 17308
618.1 IPS
 
Image Super-Resolution (I8)
100% 17872
638.3 IPS
 
Text Classification (F32)
100% 2975
4.28 KIPS
 
Text Classification (F16)
100% 5029
7.23 KIPS
 
Text Classification (I8)
96% 5091
7.32 KIPS
 
Machine Translation (F32)
100% 642
11.8 IPS
 
Machine Translation (F16)
100% 1613
29.7 IPS
 
Machine Translation (I8)
99% 643
11.8 IPS
 

Compare

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