iPad (11th generation)
Geekbench AI Score
3450
Single Precision Score
21886
Half Precision Score
24822
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 06:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1357
252.3 IPS |
|
|
Image Classification (HP)
|
100% |
9199
1.71 KIPS |
|
|
Image Classification (Q)
|
97% |
10500
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1411
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14081
228.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19340
313.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6355
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
95122
111.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
101897
119.4 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.7 IPS |
|
|
Object Detection (HP)
|
100% |
12505
991.9 IPS |
|
|
Object Detection (Q)
|
91% |
14417
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3253
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
30474
362.1 IPS |
|
|
Face Detection (Q)
|
100% |
38979
463.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5992
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
72025
554.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
89092
696.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18643
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
171133
220.0 IPS |
|
|
Style Transfer (Q)
|
96% |
173285
223.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3841
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32668
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35137
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2754
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1869
2.50 KIPS |
|
|
Text Classification (Q)
|
93% |
1719
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3422
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7137
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8189
141.5 IPS |
