iPad (11th generation)
Geekbench AI Score
3461
Single Precision Score
21673
Half Precision Score
25003
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 28 2026 11:39 AM |
| Views | 5 |
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% |
1361
253.0 IPS |
|
|
Image Classification (HP)
|
100% |
8686
1.62 KIPS |
|
|
Image Classification (Q)
|
97% |
10790
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1403
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13845
224.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19325
313.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6479
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
95366
111.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
102036
119.6 IPS |
|
|
Object Detection (SP)
|
100% |
1494
118.5 IPS |
|
|
Object Detection (HP)
|
100% |
12273
973.5 IPS |
|
|
Object Detection (Q)
|
91% |
14553
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3286
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
31063
369.1 IPS |
|
|
Face Detection (Q)
|
100% |
38802
461.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5949
45.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
71561
551.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
89316
698.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18784
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
170925
219.7 IPS |
|
|
Style Transfer (Q)
|
96% |
171680
221.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3861
142.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32793
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35347
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2760
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1834
2.45 KIPS |
|
|
Text Classification (Q)
|
93% |
1776
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3412
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7112
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8259
142.7 IPS |
