iPad16,3
Geekbench ML Score
5273
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 12:34 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 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 | 7.29 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1942
363.3 IPS |
|
|
Image Classification (F16)
|
100% |
3364
629.5 IPS |
|
|
Image Classification (I8)
|
99% |
3340
625.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1317
22.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1709
28.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1703
28.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
9710
11.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
18348
22.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
18315
22.2 IPS |
|
|
Object Detection (F32)
|
100% |
2030
151.6 IPS |
|
|
Object Detection (F16)
|
100% |
3133
233.9 IPS |
|
|
Object Detection (I8)
|
97% |
2034
151.8 IPS |
|
|
Face Detection (F32)
|
100% |
3886
46.2 IPS |
|
|
Face Detection (F16)
|
97% |
7362
87.5 IPS |
|
|
Face Detection (I8)
|
97% |
7346
87.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
8234
63.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
14561
112.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
14591
113.2 IPS |
|
|
Style Transfer (F32)
|
100% |
24510
32.2 IPS |
|
|
Style Transfer (F16)
|
100% |
37022
48.7 IPS |
|
|
Style Transfer (I8)
|
100% |
37041
48.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6019
215.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7070
252.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7054
251.9 IPS |
|
|
Text Classification (F32)
|
100% |
2764
3.97 KIPS |
|
|
Text Classification (F16)
|
100% |
4820
6.93 KIPS |
|
|
Text Classification (I8)
|
96% |
4834
6.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
1665
30.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1973
36.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1660
30.6 IPS |
