iPad16,3
Geekbench AI Score
4712
Single Precision Score
7828
Half Precision Score
6251
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Ncard00 |
| Upload Date | October 17 2024 01:30 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1995
371.1 IPS |
|
|
Image Classification (HP)
|
100% |
3332
619.7 IPS |
|
|
Image Classification (Q)
|
96% |
2329
434.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3300
53.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3625
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10093
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19105
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16489
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2215
175.7 IPS |
|
|
Object Detection (HP)
|
97% |
3830
304.9 IPS |
|
|
Object Detection (Q)
|
94% |
2701
215.3 IPS |
|
|
Face Detection (SP)
|
100% |
3979
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
7710
91.6 IPS |
|
|
Face Detection (Q)
|
100% |
4445
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8311
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14652
113.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10163
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25110
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37973
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31378
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5855
216.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6898
254.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4854
179.2 IPS |
|
|
Text Classification (SP)
|
100% |
2978
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5285
7.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5143
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3929
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6874
118.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6857
118.5 IPS |
