iPad16,3
Geekbench AI Score
4748
Single Precision Score
7853
Half Precision Score
6316
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 05:29 PM |
| Views | 1 |
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% |
2008
373.4 IPS |
|
|
Image Classification (HP)
|
100% |
3364
625.7 IPS |
|
|
Image Classification (Q)
|
96% |
2344
437.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2171
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3359
54.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3701
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10041
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19103
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16505
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2224
176.4 IPS |
|
|
Object Detection (HP)
|
97% |
3768
300.0 IPS |
|
|
Object Detection (Q)
|
94% |
2702
215.4 IPS |
|
|
Face Detection (SP)
|
100% |
4025
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
7792
92.6 IPS |
|
|
Face Detection (Q)
|
100% |
4511
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8326
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14659
113.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10220
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25115
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37984
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31552
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5871
216.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6828
252.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4847
179.0 IPS |
|
|
Text Classification (SP)
|
100% |
3091
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5466
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5414
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3924
67.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6781
117.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6843
118.3 IPS |
