iPad (11th generation)
Geekbench AI Score
3428
Single Precision Score
6238
Half Precision Score
5096
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | ChrisSack |
| Upload Date | January 26 2026 08:24 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1355
252.0 IPS |
|
|
Image Classification (HP)
|
100% |
2634
489.8 IPS |
|
|
Image Classification (Q)
|
96% |
1814
338.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2675
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6239
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
14875
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12596
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1464
116.1 IPS |
|
|
Object Detection (HP)
|
97% |
2947
234.6 IPS |
|
|
Object Detection (Q)
|
94% |
2115
168.6 IPS |
|
|
Face Detection (SP)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6199
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
3511
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5919
45.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11746
90.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8152
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18049
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29069
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24187
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3797
140.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5109
188.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3899
144.0 IPS |
|
|
Text Classification (SP)
|
100% |
2748
3.67 KIPS |
|
|
Text Classification (HP)
|
99% |
4815
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4749
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3420
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7026
121.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7137
123.3 IPS |
