iPad16,2
Geekbench AI Score
4017
Single Precision Score
6922
Half Precision Score
5610
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Exiledfathom |
| Upload Date | February 08 2025 10:25 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1741
323.8 IPS |
|
|
Image Classification (HP)
|
100% |
3002
558.2 IPS |
|
|
Image Classification (Q)
|
96% |
2048
382.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2595
42.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3114
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7831
9.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
15929
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13830
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1787
141.7 IPS |
|
|
Object Detection (HP)
|
97% |
3374
268.6 IPS |
|
|
Object Detection (Q)
|
94% |
2353
187.6 IPS |
|
|
Face Detection (SP)
|
100% |
3332
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
7011
83.3 IPS |
|
|
Face Detection (Q)
|
100% |
3938
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6909
53.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13598
105.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9343
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21252
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32462
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27139
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4945
182.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5720
211.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4385
161.9 IPS |
|
|
Text Classification (SP)
|
100% |
3203
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5536
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5517
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3325
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6156
106.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6163
106.5 IPS |
