iPad16,3
Geekbench AI Score
4450
Single Precision Score
6366
Half Precision Score
5447
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 05:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1965
365.4 IPS |
|
|
Image Classification (HP)
|
100% |
2634
489.9 IPS |
|
|
Image Classification (Q)
|
96% |
1975
368.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1820
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1743
28.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2519
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9888
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18739
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16254
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2087
165.5 IPS |
|
|
Object Detection (HP)
|
97% |
3057
243.3 IPS |
|
|
Object Detection (Q)
|
94% |
2327
185.5 IPS |
|
|
Face Detection (SP)
|
100% |
3599
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
5817
69.1 IPS |
|
|
Face Detection (Q)
|
100% |
3759
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7607
58.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
11232
86.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8484
66.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24080
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35484
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29697
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5803
214.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6755
249.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4900
180.9 IPS |
|
|
Text Classification (SP)
|
100% |
3037
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5130
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5075
6.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3554
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5177
89.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5190
89.7 IPS |
