iPad16,3
Geekbench ML Score
4704
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 10 2024 08:16 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 | 4.40 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 | 7.28 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1915
358.3 IPS |
|
|
Image Classification (F16)
|
100% |
2581
482.9 IPS |
|
|
Image Classification (I8)
|
99% |
2569
480.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1225
20.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1183
19.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1180
19.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
9537
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
18001
21.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
18029
21.8 IPS |
|
|
Object Detection (F32)
|
100% |
1905
142.2 IPS |
|
|
Object Detection (F16)
|
100% |
2631
196.4 IPS |
|
|
Object Detection (I8)
|
97% |
1931
144.1 IPS |
|
|
Face Detection (F32)
|
100% |
3572
42.5 IPS |
|
|
Face Detection (F16)
|
97% |
5623
66.9 IPS |
|
|
Face Detection (I8)
|
97% |
5644
67.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
7555
58.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11198
86.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
11274
87.4 IPS |
|
|
Style Transfer (F32)
|
100% |
23413
30.8 IPS |
|
|
Style Transfer (F16)
|
100% |
34784
45.8 IPS |
|
|
Style Transfer (I8)
|
100% |
34638
45.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5932
211.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6826
243.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6850
244.7 IPS |
|
|
Text Classification (F32)
|
100% |
2744
3.94 KIPS |
|
|
Text Classification (F16)
|
100% |
4484
6.44 KIPS |
|
|
Text Classification (I8)
|
96% |
4467
6.42 KIPS |
|
|
Machine Translation (F32)
|
100% |
1630
30.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1874
34.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1623
29.9 IPS |
