iPad (11th generation)
Geekbench AI Score
1738
Single Precision Score
3071
Half Precision Score
2470
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 04:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad (11th generation) |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | Apple A16 |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
637
118.4 IPS |
|
|
Image Classification (HP)
|
100% |
1148
213.5 IPS |
|
|
Image Classification (Q)
|
96% |
875
163.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
749
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1020
16.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1212
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2721
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
7433
8.67 IPS |
|
|
Pose Estimation (Q)
|
95% |
6247
7.32 IPS |
|
|
Object Detection (SP)
|
100% |
687
54.5 IPS |
|
|
Object Detection (HP)
|
97% |
1485
118.2 IPS |
|
|
Object Detection (Q)
|
94% |
1049
83.6 IPS |
|
|
Face Detection (SP)
|
100% |
1841
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
3048
36.2 IPS |
|
|
Face Detection (Q)
|
100% |
1585
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2886
22.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5212
40.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
3604
28.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9213
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13187
17.0 IPS |
|
|
Style Transfer (Q)
|
96% |
12189
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2091
77.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2672
98.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2020
74.6 IPS |
|
|
Text Classification (SP)
|
100% |
1482
1.98 KIPS |
|
|
Text Classification (HP)
|
99% |
2556
3.41 KIPS |
|
|
Text Classification (Q)
|
93% |
2118
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1859
32.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4037
69.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4095
70.8 IPS |
