iPad16,3
Geekbench ML Score
4683
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 12:22 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 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 | 7.28 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1914
358.2 IPS |
|
|
Image Classification (F16)
|
100% |
2574
481.7 IPS |
|
|
Image Classification (I8)
|
99% |
2575
481.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1196
20.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1178
19.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1175
19.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
9521
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
17989
21.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
17963
21.8 IPS |
|
|
Object Detection (F32)
|
100% |
1919
143.3 IPS |
|
|
Object Detection (F16)
|
100% |
2624
195.9 IPS |
|
|
Object Detection (I8)
|
97% |
1915
143.0 IPS |
|
|
Face Detection (F32)
|
100% |
3535
42.0 IPS |
|
|
Face Detection (F16)
|
97% |
5599
66.6 IPS |
|
|
Face Detection (I8)
|
97% |
5607
66.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
7548
58.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
11148
86.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
11156
86.5 IPS |
|
|
Style Transfer (F32)
|
100% |
23401
30.8 IPS |
|
|
Style Transfer (F16)
|
100% |
34447
45.3 IPS |
|
|
Style Transfer (I8)
|
100% |
34331
45.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5892
210.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6819
243.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6816
243.4 IPS |
|
|
Text Classification (F32)
|
100% |
2740
3.94 KIPS |
|
|
Text Classification (F16)
|
100% |
4464
6.42 KIPS |
|
|
Text Classification (I8)
|
96% |
4474
6.43 KIPS |
|
|
Machine Translation (F32)
|
100% |
1618
29.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1862
34.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1614
29.7 IPS |
