iPad (11th generation)
Geekbench AI Score
3443
Single Precision Score
22841
Half Precision Score
25252
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 27 2026 11:57 AM |
| 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% |
1301
241.9 IPS |
|
|
Image Classification (HP)
|
100% |
9286
1.73 KIPS |
|
|
Image Classification (Q)
|
97% |
11611
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1406
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16225
263.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
17118
277.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6533
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
95617
111.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
102593
120.2 IPS |
|
|
Object Detection (SP)
|
100% |
1477
117.1 IPS |
|
|
Object Detection (HP)
|
100% |
12352
979.8 IPS |
|
|
Object Detection (Q)
|
91% |
14306
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3237
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
30826
366.3 IPS |
|
|
Face Detection (Q)
|
100% |
36686
435.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5970
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
71820
553.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
88835
694.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18825
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
171357
220.3 IPS |
|
|
Style Transfer (Q)
|
96% |
174512
225.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3860
142.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32554
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35168
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2783
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2457
3.28 KIPS |
|
|
Text Classification (Q)
|
93% |
2204
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3402
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7158
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8201
141.7 IPS |
