iPad16,3
Geekbench ML Score
5331
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 05:58 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.29 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2054
384.4 IPS |
|
|
Image Classification (F16)
|
100% |
3293
616.2 IPS |
|
|
Image Classification (I8)
|
99% |
3358
628.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1351
22.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1753
29.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1759
29.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
9654
11.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
18239
22.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
18244
22.1 IPS |
|
|
Object Detection (F32)
|
100% |
2073
154.8 IPS |
|
|
Object Detection (F16)
|
100% |
3230
241.1 IPS |
|
|
Object Detection (I8)
|
97% |
2087
155.8 IPS |
|
|
Face Detection (F32)
|
100% |
3926
46.7 IPS |
|
|
Face Detection (F16)
|
97% |
7443
88.5 IPS |
|
|
Face Detection (I8)
|
97% |
7457
88.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
8273
64.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
14623
113.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
14796
114.7 IPS |
|
|
Style Transfer (F32)
|
100% |
24612
32.4 IPS |
|
|
Style Transfer (F16)
|
100% |
37200
48.9 IPS |
|
|
Style Transfer (I8)
|
100% |
37141
48.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5948
212.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6894
246.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6894
246.2 IPS |
|
|
Text Classification (F32)
|
100% |
2719
3.91 KIPS |
|
|
Text Classification (F16)
|
100% |
5096
7.32 KIPS |
|
|
Text Classification (I8)
|
96% |
5144
7.39 KIPS |
|
|
Machine Translation (F32)
|
100% |
1684
31.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1997
36.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1671
30.8 IPS |
