Upload Date | July 25 2024 11:17 PM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 18.0 |
Model | iPad14,10 |
Model ID | iPad14,10 |
Motherboard | J537AP |
CPU Information | |
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Name | ARM |
Topology | 1 Processor, 8 Cores |
Identifier | ARM |
Base Frequency | 3.48 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 | 7.45 GB |
Inference Information | |
---|---|
Framework | Core ML |
Backend | GPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
2811
526.1 IPS |
|
Image Classification (F16)
|
100% |
2883
539.5 IPS |
|
Image Classification (I8)
|
99% |
2535
474.3 IPS |
|
Image Segmentation (F32)
|
100% |
1392
23.3 IPS |
|
Image Segmentation (F16)
|
100% |
1441
24.1 IPS |
|
Image Segmentation (I8)
|
100% |
1445
24.1 IPS |
|
Pose Estimation (F32)
|
100% |
20707
25.1 IPS |
|
Pose Estimation (F16)
|
100% |
22546
27.3 IPS |
|
Pose Estimation (I8)
|
100% |
21857
26.5 IPS |
|
Object Detection (F32)
|
100% |
2084
155.6 IPS |
|
Object Detection (F16)
|
100% |
2631
196.4 IPS |
|
Object Detection (I8)
|
97% |
2035
151.9 IPS |
|
Face Detection (F32)
|
100% |
8534
101.5 IPS |
|
Face Detection (F16)
|
98% |
9491
112.9 IPS |
|
Face Detection (I8)
|
97% |
9245
109.9 IPS |
|
Depth Estimation (F32)
|
100% |
14921
115.7 IPS |
|
Depth Estimation (F16)
|
100% |
16347
126.8 IPS |
|
Depth Estimation (I8)
|
99% |
14438
112.0 IPS |
|
Style Transfer (F32)
|
100% |
36699
48.3 IPS |
|
Style Transfer (F16)
|
100% |
42848
56.4 IPS |
|
Style Transfer (I8)
|
100% |
42645
56.1 IPS |
|
Image Super-Resolution (F32)
|
100% |
6759
241.4 IPS |
|
Image Super-Resolution (F16)
|
100% |
5853
209.0 IPS |
|
Image Super-Resolution (I8)
|
100% |
7210
257.5 IPS |
|
Text Classification (F32)
|
100% |
2035
2.92 KIPS |
|
Text Classification (F16)
|
100% |
3334
4.79 KIPS |
|
Text Classification (I8)
|
96% |
3322
4.77 KIPS |
|
Machine Translation (F32)
|
100% |
767
14.1 IPS |
|
Machine Translation (F16)
|
100% |
769
14.1 IPS |
|
Machine Translation (I8)
|
99% |
542
9.97 IPS |