iPad16,3
Geekbench AI Score
4734
Single Precision Score
7884
Half Precision Score
6303
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 07:14 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% |
3332
619.6 IPS |
|
|
Image Classification (Q)
|
96% |
2324
433.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3382
54.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3637
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10085
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19142
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16499
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2193
173.9 IPS |
|
|
Object Detection (HP)
|
97% |
3799
302.4 IPS |
|
|
Object Detection (Q)
|
94% |
2679
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
3970
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
7614
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
4472
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8330
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14636
113.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10168
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25257
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38211
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31527
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5855
216.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6897
254.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4944
182.5 IPS |
|
|
Text Classification (SP)
|
100% |
3064
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5633
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5467
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3960
68.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6851
118.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6843
118.2 IPS |
