iPad16,3
Geekbench ML Score
4659
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 16 2024 02:31 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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% |
1874
350.6 IPS |
|
|
Image Classification (F16)
|
100% |
2527
472.9 IPS |
|
|
Image Classification (I8)
|
99% |
2550
477.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1197
20.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1153
19.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1152
19.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
9338
11.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
17913
21.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
17930
21.7 IPS |
|
|
Object Detection (F32)
|
100% |
1890
141.1 IPS |
|
|
Object Detection (F16)
|
100% |
2583
192.9 IPS |
|
|
Object Detection (I8)
|
97% |
1895
141.5 IPS |
|
|
Face Detection (F32)
|
100% |
3519
41.8 IPS |
|
|
Face Detection (F16)
|
97% |
5560
66.1 IPS |
|
|
Face Detection (I8)
|
97% |
5531
65.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
7527
58.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
11084
86.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
11064
85.8 IPS |
|
|
Style Transfer (F32)
|
100% |
23404
30.8 IPS |
|
|
Style Transfer (F16)
|
100% |
34356
45.2 IPS |
|
|
Style Transfer (I8)
|
100% |
34328
45.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5895
210.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6882
245.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6931
247.5 IPS |
|
|
Text Classification (F32)
|
100% |
2777
3.99 KIPS |
|
|
Text Classification (F16)
|
100% |
4473
6.43 KIPS |
|
|
Text Classification (I8)
|
96% |
4458
6.41 KIPS |
|
|
Machine Translation (F32)
|
100% |
1621
29.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1861
34.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1622
29.9 IPS |
