iPad (11th generation)
Geekbench AI Score
3663
Single Precision Score
6600
Half Precision Score
5382
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 14 2026 09:53 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1390
258.5 IPS |
|
|
Image Classification (HP)
|
100% |
2615
486.3 IPS |
|
|
Image Classification (Q)
|
96% |
1825
340.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1406
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2694
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6289
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
15213
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12849
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1488
118.0 IPS |
|
|
Object Detection (HP)
|
97% |
2955
235.3 IPS |
|
|
Object Detection (Q)
|
94% |
2122
169.1 IPS |
|
|
Face Detection (SP)
|
100% |
3251
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
6260
74.4 IPS |
|
|
Face Detection (Q)
|
100% |
3558
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5922
45.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11687
90.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8137
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18286
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30033
38.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24861
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3768
139.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5078
187.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3909
144.3 IPS |
|
|
Text Classification (SP)
|
100% |
5282
7.05 KIPS |
|
|
Text Classification (HP)
|
99% |
8444
11.3 KIPS |
|
|
Text Classification (Q)
|
93% |
8246
11.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
3395
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6562
113.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6559
113.4 IPS |
