User | imaginebox |
Upload Date | January 20 2024 08:28 PM |
Views | 2 |
System Information | |
---|---|
Operating System | iOS 17.3 |
Model | iPad14,4 |
Model ID | iPad14,4 |
Motherboard | J618AP |
CPU Information | |
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Name | ARM |
Topology | 1 Processor, 8 Cores |
Identifier | ARM |
Base Frequency | 3.46 GHz |
Cluster 1 | 4 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 | 15.34 GB |
Inference Information | |
---|---|
Framework | Core ML |
Backend | Neural Engine |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
3390
634.4 IPS |
|
Image Classification (F16)
|
100% |
6505
1.22 KIPS |
|
Image Classification (I8)
|
99% |
6924
1.30 KIPS |
|
Image Segmentation (F32)
|
100% |
1423
23.8 IPS |
|
Image Segmentation (F16)
|
100% |
1598
26.7 IPS |
|
Image Segmentation (I8)
|
100% |
1559
26.0 IPS |
|
Pose Estimation (F32)
|
100% |
22795
27.6 IPS |
|
Pose Estimation (F16)
|
100% |
82536
99.9 IPS |
|
Pose Estimation (I8)
|
100% |
83847
101.5 IPS |
|
Object Detection (F32)
|
100% |
2804
209.3 IPS |
|
Object Detection (F16)
|
100% |
3736
278.9 IPS |
|
Object Detection (I8)
|
97% |
2529
188.8 IPS |
|
Face Detection (F32)
|
100% |
9398
111.7 IPS |
|
Face Detection (F16)
|
97% |
14327
170.4 IPS |
|
Face Detection (I8)
|
96% |
14213
169.0 IPS |
|
Depth Estimation (F32)
|
100% |
15945
123.7 IPS |
|
Depth Estimation (F16)
|
100% |
37018
287.1 IPS |
|
Depth Estimation (I8)
|
37% |
37124
287.9 IPS |
|
Style Transfer (F32)
|
100% |
39340
51.7 IPS |
|
Style Transfer (F16)
|
100% |
131252
172.7 IPS |
|
Style Transfer (I8)
|
100% |
133871
176.1 IPS |
|
Image Super-Resolution (F32)
|
100% |
7556
269.9 IPS |
|
Image Super-Resolution (F16)
|
100% |
18227
650.9 IPS |
|
Image Super-Resolution (I8)
|
100% |
18268
652.4 IPS |
|
Text Classification (F32)
|
100% |
1131
1.63 KIPS |
|
Text Classification (F16)
|
100% |
757
1.09 KIPS |
|
Text Classification (I8)
|
96% |
758
1.09 KIPS |
|
Machine Translation (F32)
|
100% |
792
14.6 IPS |
|
Machine Translation (F16)
|
100% |
2518
46.3 IPS |
|
Machine Translation (I8)
|
99% |
724
13.3 IPS |