iPad16,4
Geekbench ML Score
4680
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 27 2024 07:38 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 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 | 15.13 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1906
356.7 IPS |
|
|
Image Classification (F16)
|
100% |
2540
475.2 IPS |
|
|
Image Classification (I8)
|
99% |
2543
475.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1191
19.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1172
19.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1170
19.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
9479
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
17989
21.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
17981
21.8 IPS |
|
|
Object Detection (F32)
|
100% |
1909
142.5 IPS |
|
|
Object Detection (F16)
|
100% |
2641
197.2 IPS |
|
|
Object Detection (I8)
|
97% |
1925
143.7 IPS |
|
|
Face Detection (F32)
|
100% |
3517
41.8 IPS |
|
|
Face Detection (F16)
|
97% |
5588
66.4 IPS |
|
|
Face Detection (I8)
|
97% |
5584
66.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
7546
58.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
11173
86.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
11212
87.0 IPS |
|
|
Style Transfer (F32)
|
100% |
23529
31.0 IPS |
|
|
Style Transfer (F16)
|
100% |
34652
45.6 IPS |
|
|
Style Transfer (I8)
|
100% |
34781
45.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5872
209.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6837
244.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6803
243.0 IPS |
|
|
Text Classification (F32)
|
100% |
2748
3.95 KIPS |
|
|
Text Classification (F16)
|
100% |
4470
6.42 KIPS |
|
|
Text Classification (I8)
|
96% |
4469
6.42 KIPS |
|
|
Machine Translation (F32)
|
100% |
1620
29.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1864
34.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1617
29.8 IPS |
