Upload Date | June 12 2025 02:32 AM |
Views | 5 |
System Information | |
---|---|
Operating System | iOS 18.5 |
Model | iPhone 13 Pro |
Model ID | iPhone14,2 |
Motherboard | D63AP |
CPU Information | |
---|---|
Name | Apple A15 Bionic |
Topology | 1 Processor, 6 Cores |
Identifier | ARM |
Base Frequency | 3.23 GHz |
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 | 5.54 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
519
55.6 IPS |
|
Image Classification (F16)
|
100% |
522
55.9 IPS |
|
Image Classification (I8)
|
81% |
686
73.5 IPS |
|
Image Segmentation (F32)
|
100% |
613
3.79 IPS |
|
Image Segmentation (F16)
|
100% |
615
3.80 IPS |
|
Image Segmentation (I8)
|
89% |
1268
7.83 IPS |
|
Pose Estimation (F32)
|
100% |
233
0.94 IPS |
|
Pose Estimation (F16)
|
100% |
287
1.16 IPS |
|
Pose Estimation (I8)
|
80% |
364
1.47 IPS |
|
Object Detection (F32)
|
100% |
766
26.9 IPS |
|
Object Detection (F16)
|
100% |
767
26.9 IPS |
|
Object Detection (I8)
|
52% |
769
27.0 IPS |
|
Face Detection (F32)
|
100% |
867
9.96 IPS |
|
Face Detection (F16)
|
100% |
932
10.7 IPS |
|
Face Detection (I8)
|
75% |
1063
12.2 IPS |
|
Text Classification (F32)
|
100% |
1214
480.2 IPS |
|
Text Classification (F16)
|
100% |
1039
410.9 IPS |
|
Machine Translation (F32)
|
100% |
967
149.0 IPS |
|
Machine Translation (F16)
|
100% |
964
148.5 IPS |