iPad16,5
Geekbench AI Score
4450
Single Precision Score
6381
Half Precision Score
5454
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Helwar |
| Upload Date | September 28 2024 05:27 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1937
360.2 IPS |
|
|
Image Classification (HP)
|
100% |
2628
488.8 IPS |
|
|
Image Classification (Q)
|
96% |
1963
366.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1831
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1776
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2525
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9858
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18674
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16232
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2089
165.7 IPS |
|
|
Object Detection (HP)
|
97% |
3053
243.0 IPS |
|
|
Object Detection (Q)
|
94% |
2314
184.4 IPS |
|
|
Face Detection (SP)
|
100% |
3618
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
5895
70.0 IPS |
|
|
Face Detection (Q)
|
100% |
3811
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7632
58.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
11323
87.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8536
66.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24102
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35630
45.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29992
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5795
214.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6758
249.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4829
178.3 IPS |
|
|
Text Classification (SP)
|
100% |
3041
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5064
6.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5139
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3556
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5171
89.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5170
89.3 IPS |
