iPad (11th generation)
Geekbench AI Score
3711
Single Precision Score
22403
Half Precision Score
25498
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 09:35 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
1398
260.0 IPS |
|
|
Image Classification (HP)
|
100% |
9421
1.75 KIPS |
|
|
Image Classification (Q)
|
97% |
10912
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1418
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15126
245.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19664
318.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6465
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
96681
112.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
102706
120.4 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
100% |
12544
995.0 IPS |
|
|
Object Detection (Q)
|
89% |
14551
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3370
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
33374
396.6 IPS |
|
|
Face Detection (Q)
|
100% |
41155
489.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6003
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
73265
564.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
91282
713.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18703
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
171850
220.9 IPS |
|
|
Style Transfer (Q)
|
96% |
173453
223.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3798
140.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33649
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35638
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
5229
6.98 KIPS |
|
|
Text Classification (HP)
|
100% |
1820
2.43 KIPS |
|
|
Text Classification (Q)
|
93% |
1898
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3423
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7163
123.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8220
142.1 IPS |
