iPad16,3
Geekbench ML Score
4681
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 12:12 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% |
1879
351.7 IPS |
|
|
Image Classification (F16)
|
100% |
2541
475.4 IPS |
|
|
Image Classification (I8)
|
99% |
2548
476.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1206
20.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1167
19.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1169
19.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
9503
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
17982
21.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
17999
21.8 IPS |
|
|
Object Detection (F32)
|
100% |
1910
142.6 IPS |
|
|
Object Detection (F16)
|
100% |
2607
194.6 IPS |
|
|
Object Detection (I8)
|
97% |
1917
143.1 IPS |
|
|
Face Detection (F32)
|
100% |
3556
42.3 IPS |
|
|
Face Detection (F16)
|
97% |
5618
66.8 IPS |
|
|
Face Detection (I8)
|
97% |
5623
66.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
7562
58.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11167
86.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
11143
86.4 IPS |
|
|
Style Transfer (F32)
|
100% |
23476
30.9 IPS |
|
|
Style Transfer (F16)
|
100% |
34513
45.4 IPS |
|
|
Style Transfer (I8)
|
100% |
34484
45.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5942
212.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6849
244.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6833
244.0 IPS |
|
|
Text Classification (F32)
|
100% |
2743
3.94 KIPS |
|
|
Text Classification (F16)
|
100% |
4476
6.43 KIPS |
|
|
Text Classification (I8)
|
96% |
4470
6.42 KIPS |
|
|
Machine Translation (F32)
|
100% |
1624
29.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1863
34.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1617
29.8 IPS |
