iPad16,5
Geekbench ML Score
5316
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 18 2024 06:37 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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 | 7.21 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2018
377.6 IPS |
|
|
Image Classification (F16)
|
100% |
3352
627.3 IPS |
|
|
Image Classification (I8)
|
99% |
3259
609.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1328
22.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1757
29.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1764
29.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
9714
11.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
18221
22.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
18272
22.1 IPS |
|
|
Object Detection (F32)
|
100% |
2071
154.6 IPS |
|
|
Object Detection (F16)
|
100% |
3207
239.4 IPS |
|
|
Object Detection (I8)
|
97% |
2076
155.0 IPS |
|
|
Face Detection (F32)
|
100% |
3928
46.7 IPS |
|
|
Face Detection (F16)
|
97% |
7449
88.6 IPS |
|
|
Face Detection (I8)
|
97% |
7410
88.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
8301
64.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
14771
114.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
14841
115.1 IPS |
|
|
Style Transfer (F32)
|
100% |
24570
32.3 IPS |
|
|
Style Transfer (F16)
|
100% |
37185
48.9 IPS |
|
|
Style Transfer (I8)
|
100% |
37138
48.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5943
212.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6880
245.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6878
245.6 IPS |
|
|
Text Classification (F32)
|
100% |
2677
3.85 KIPS |
|
|
Text Classification (F16)
|
100% |
5126
7.37 KIPS |
|
|
Text Classification (I8)
|
96% |
4856
6.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
1702
31.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2025
37.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1678
30.9 IPS |
