iPad16,3
Geekbench AI Score
4732
Single Precision Score
7848
Half Precision Score
6337
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 08:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
2025
376.5 IPS |
|
|
Image Classification (HP)
|
100% |
3344
621.8 IPS |
|
|
Image Classification (Q)
|
96% |
2338
436.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2175
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3348
54.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3704
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10071
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19122
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16504
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2225
176.5 IPS |
|
|
Object Detection (HP)
|
97% |
3775
300.5 IPS |
|
|
Object Detection (Q)
|
94% |
2723
217.0 IPS |
|
|
Face Detection (SP)
|
100% |
4016
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
7846
93.2 IPS |
|
|
Face Detection (Q)
|
100% |
4528
53.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8334
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14695
113.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10219
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25132
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38162
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31649
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5863
216.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6765
249.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4814
177.8 IPS |
|
|
Text Classification (SP)
|
100% |
2940
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5406
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5519
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3940
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6818
117.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6902
119.3 IPS |
