iPad16,3
Geekbench AI Score
4749
Single Precision Score
7882
Half Precision Score
6368
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ccws |
| Upload Date | November 30 2024 06:40 PM |
| 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 | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2028
377.1 IPS |
|
|
Image Classification (HP)
|
100% |
3345
622.1 IPS |
|
|
Image Classification (Q)
|
96% |
2343
437.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2182
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3372
54.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3730
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10080
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19038
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16516
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2240
177.7 IPS |
|
|
Object Detection (HP)
|
97% |
3794
302.1 IPS |
|
|
Object Detection (Q)
|
94% |
2743
218.7 IPS |
|
|
Face Detection (SP)
|
100% |
4050
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
7870
93.5 IPS |
|
|
Face Detection (Q)
|
100% |
4577
54.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8351
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14743
114.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10293
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25125
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38104
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31764
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5850
216.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6686
246.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4817
177.9 IPS |
|
|
Text Classification (SP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5638
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5625
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3934
67.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6820
117.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6838
118.2 IPS |
