Upload Date | June 17 2024 04:31 PM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 18.0 |
Model | iPhone 15 Pro Max |
Model ID | iPhone16,2 |
Motherboard | D84AP |
CPU Information | |
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Name | Apple A17 Pro |
Topology | 1 Processor, 6 Cores |
Identifier | ARM |
Base Frequency | 3.78 GHz |
Cluster 1 | 2 Cores |
Cluster 2 | 4 Cores |
L1 Instruction Cache | 128 KB x 1 |
L1 Data Cache | 64.0 KB x 1 |
L2 Cache | 4.00 MB x 1 |
Memory Information | |
---|---|
Size | 7.48 GB |
Inference Information | |
---|---|
Framework | Core ML |
Backend | GPU |
Device | Default |
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 |