iPad16,1
Geekbench AI Score
3974
Single Precision Score
6843
Half Precision Score
5579
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 28 2025 01:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1740
323.5 IPS |
|
|
Image Classification (HP)
|
100% |
2934
545.6 IPS |
|
|
Image Classification (Q)
|
96% |
2010
375.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1659
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2397
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3115
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7801
9.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
15866
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13747
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1799
142.7 IPS |
|
|
Object Detection (HP)
|
97% |
3359
267.4 IPS |
|
|
Object Detection (Q)
|
94% |
2328
185.6 IPS |
|
|
Face Detection (SP)
|
100% |
3340
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
7012
83.3 IPS |
|
|
Face Detection (Q)
|
100% |
3907
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6839
52.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13333
103.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9196
71.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20835
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31987
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26995
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4798
177.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5767
213.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4397
162.4 IPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5629
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5509
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3324
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6188
106.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6210
107.3 IPS |
