Upload Date | May 09 2024 10:00 AM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 17.4.1 |
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 | 7.44 GB |
Inference Information | |
---|---|
Framework | Core ML |
Backend | Neural Engine |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
1173
219.5 IPS |
|
Image Classification (F16)
|
100% |
6108
1.14 KIPS |
|
Image Classification (I8)
|
99% |
6726
1.26 KIPS |
|
Image Segmentation (F32)
|
100% |
1372
22.9 IPS |
|
Image Segmentation (F16)
|
100% |
1749
29.2 IPS |
|
Image Segmentation (I8)
|
100% |
1734
29.0 IPS |
|
Pose Estimation (F32)
|
100% |
14703
17.8 IPS |
|
Pose Estimation (F16)
|
100% |
83533
101.2 IPS |
|
Pose Estimation (I8)
|
100% |
84285
102.1 IPS |
|
Object Detection (F32)
|
100% |
1480
110.5 IPS |
|
Object Detection (F16)
|
100% |
3854
287.8 IPS |
|
Object Detection (I8)
|
97% |
1555
116.1 IPS |
|
Face Detection (F32)
|
100% |
5982
71.1 IPS |
|
Face Detection (F16)
|
97% |
10431
124.0 IPS |
|
Face Detection (I8)
|
96% |
10622
126.3 IPS |
|
Depth Estimation (F32)
|
100% |
12256
95.0 IPS |
|
Depth Estimation (F16)
|
100% |
38052
295.1 IPS |
|
Depth Estimation (I8)
|
37% |
38616
299.5 IPS |
|
Style Transfer (F32)
|
100% |
29557
38.9 IPS |
|
Style Transfer (F16)
|
100% |
120250
158.2 IPS |
|
Style Transfer (I8)
|
100% |
119906
157.7 IPS |
|
Image Super-Resolution (F32)
|
100% |
6946
248.1 IPS |
|
Image Super-Resolution (F16)
|
100% |
18196
649.8 IPS |
|
Image Super-Resolution (I8)
|
100% |
18369
656.0 IPS |
|
Text Classification (F32)
|
100% |
431
618.7 IPS |
|
Text Classification (F16)
|
100% |
462
663.5 IPS |
|
Text Classification (I8)
|
96% |
281
403.5 IPS |
|
Machine Translation (F32)
|
100% |
729
13.4 IPS |
|
Machine Translation (F16)
|
100% |
1491
27.4 IPS |
|
Machine Translation (I8)
|
99% |
681
12.5 IPS |