iPad (11th generation)
Geekbench AI Score
3467
Single Precision Score
21787
Half Precision Score
24640
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 10 2026 11:07 AM |
| Views | 8 |
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% |
1360
253.0 IPS |
|
|
Image Classification (HP)
|
100% |
9065
1.69 KIPS |
|
|
Image Classification (Q)
|
97% |
10326
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1406
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15416
249.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19201
311.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6597
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
95628
111.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
102184
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1494
118.5 IPS |
|
|
Object Detection (HP)
|
100% |
12543
994.9 IPS |
|
|
Object Detection (Q)
|
91% |
14484
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3271
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
27601
328.0 IPS |
|
|
Face Detection (Q)
|
100% |
33870
402.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5963
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
72016
554.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
89449
699.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18853
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
170075
218.6 IPS |
|
|
Style Transfer (Q)
|
96% |
171753
221.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3877
143.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32957
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34696
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2758
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1814
2.42 KIPS |
|
|
Text Classification (Q)
|
93% |
1880
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3392
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7114
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8285
143.2 IPS |
