iPad16,3
Geekbench ML Score
4753
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 19 2024 02:27 AM |
| Views | 2 |
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% |
1892
354.0 IPS |
|
|
Image Classification (F16)
|
100% |
2588
484.3 IPS |
|
|
Image Classification (I8)
|
99% |
2607
487.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1216
20.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1205
20.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1208
20.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
9470
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
17929
21.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
17965
21.8 IPS |
|
|
Object Detection (F32)
|
100% |
1980
147.8 IPS |
|
|
Object Detection (F16)
|
100% |
2696
201.3 IPS |
|
|
Object Detection (I8)
|
97% |
1974
147.4 IPS |
|
|
Face Detection (F32)
|
100% |
3627
43.1 IPS |
|
|
Face Detection (F16)
|
97% |
5807
69.0 IPS |
|
|
Face Detection (I8)
|
97% |
5792
68.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
7682
59.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11488
89.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
11496
89.2 IPS |
|
|
Style Transfer (F32)
|
100% |
23517
30.9 IPS |
|
|
Style Transfer (F16)
|
100% |
34982
46.0 IPS |
|
|
Style Transfer (I8)
|
100% |
34944
46.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5776
206.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6826
243.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6830
243.9 IPS |
|
|
Text Classification (F32)
|
100% |
2714
3.90 KIPS |
|
|
Text Classification (F16)
|
100% |
4488
6.45 KIPS |
|
|
Text Classification (I8)
|
96% |
4468
6.42 KIPS |
|
|
Machine Translation (F32)
|
100% |
1683
31.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1935
35.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1661
30.6 IPS |
