iPad16,3
Geekbench ML Score
4607
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 16 2024 02:37 AM |
| Views | 2 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 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% |
1800
336.9 IPS |
|
|
Image Classification (F16)
|
100% |
2440
456.6 IPS |
|
|
Image Classification (I8)
|
99% |
2453
459.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1190
19.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1153
19.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1172
19.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
9352
11.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
17237
20.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
17869
21.6 IPS |
|
|
Object Detection (F32)
|
100% |
1832
136.8 IPS |
|
|
Object Detection (F16)
|
100% |
2606
194.6 IPS |
|
|
Object Detection (I8)
|
97% |
1832
136.8 IPS |
|
|
Face Detection (F32)
|
100% |
3465
41.2 IPS |
|
|
Face Detection (F16)
|
97% |
5565
66.2 IPS |
|
|
Face Detection (I8)
|
97% |
5326
63.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
7314
56.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
10890
84.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
10859
84.2 IPS |
|
|
Style Transfer (F32)
|
100% |
22474
29.6 IPS |
|
|
Style Transfer (F16)
|
100% |
33387
43.9 IPS |
|
|
Style Transfer (I8)
|
100% |
34044
44.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5864
209.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6918
247.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6897
246.3 IPS |
|
|
Text Classification (F32)
|
100% |
2835
4.07 KIPS |
|
|
Text Classification (F16)
|
100% |
4620
6.64 KIPS |
|
|
Text Classification (I8)
|
96% |
4612
6.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
1605
29.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1854
34.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1614
29.7 IPS |
