iPad16,6
Geekbench AI Score
4701
Single Precision Score
7815
Half Precision Score
6313
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | icreatefrance |
| Upload Date | November 09 2024 12:56 PM |
| Views | 9 |
| Notes | iPad Pro M4 2024 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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 | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2002
372.3 IPS |
|
|
Image Classification (HP)
|
100% |
3308
615.2 IPS |
|
|
Image Classification (Q)
|
96% |
2332
435.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3275
53.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3678
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10001
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19045
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16445
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2208
175.2 IPS |
|
|
Object Detection (HP)
|
97% |
3773
300.4 IPS |
|
|
Object Detection (Q)
|
94% |
2701
215.3 IPS |
|
|
Face Detection (SP)
|
100% |
3977
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
7751
92.1 IPS |
|
|
Face Detection (Q)
|
100% |
4502
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8291
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14631
113.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10201
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25125
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38073
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31616
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5844
215.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6755
249.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4888
180.5 IPS |
|
|
Text Classification (SP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5441
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5385
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3852
66.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6886
119.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6914
119.5 IPS |
