Upload Date | May 08 2024 05:41 AM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 17.4.1 |
Model | iPhone 15 Pro Max |
Model ID | iPhone16,2 |
Motherboard | D84AP |
CPU Information | |
---|---|
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% |
1503
281.3 IPS |
|
Image Classification (F16)
|
100% |
6216
1.16 KIPS |
|
Image Classification (I8)
|
99% |
6961
1.30 KIPS |
|
Image Segmentation (F32)
|
100% |
1409
23.5 IPS |
|
Image Segmentation (F16)
|
100% |
1829
30.5 IPS |
|
Image Segmentation (I8)
|
100% |
1823
30.4 IPS |
|
Pose Estimation (F32)
|
100% |
14798
17.9 IPS |
|
Pose Estimation (F16)
|
100% |
82027
99.3 IPS |
|
Pose Estimation (I8)
|
100% |
84517
102.3 IPS |
|
Object Detection (F32)
|
100% |
1430
106.7 IPS |
|
Object Detection (F16)
|
100% |
3964
295.9 IPS |
|
Object Detection (I8)
|
97% |
1886
140.8 IPS |
|
Face Detection (F32)
|
100% |
6092
72.4 IPS |
|
Face Detection (F16)
|
97% |
10651
126.6 IPS |
|
Face Detection (I8)
|
96% |
10671
126.9 IPS |
|
Depth Estimation (F32)
|
100% |
12369
95.9 IPS |
|
Depth Estimation (F16)
|
100% |
37966
294.4 IPS |
|
Depth Estimation (I8)
|
37% |
38941
302.0 IPS |
|
Style Transfer (F32)
|
100% |
29661
39.0 IPS |
|
Style Transfer (F16)
|
100% |
122652
161.3 IPS |
|
Style Transfer (I8)
|
100% |
121886
160.3 IPS |
|
Image Super-Resolution (F32)
|
100% |
6858
244.9 IPS |
|
Image Super-Resolution (F16)
|
100% |
18346
655.2 IPS |
|
Image Super-Resolution (I8)
|
100% |
17575
627.7 IPS |
|
Text Classification (F32)
|
100% |
459
659.5 IPS |
|
Text Classification (F16)
|
100% |
486
698.0 IPS |
|
Text Classification (I8)
|
96% |
302
433.7 IPS |
|
Machine Translation (F32)
|
100% |
747
13.8 IPS |
|
Machine Translation (F16)
|
100% |
1549
28.5 IPS |
|
Machine Translation (I8)
|
99% |
686
12.6 IPS |