iPad (11th generation)
Geekbench AI Score
3423
Single Precision Score
6238
Half Precision Score
5093
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 06:36 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1345
250.1 IPS |
|
|
Image Classification (HP)
|
100% |
2631
489.2 IPS |
|
|
Image Classification (Q)
|
96% |
1813
338.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1418
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2671
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6249
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
14666
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12484
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1484
117.7 IPS |
|
|
Object Detection (HP)
|
97% |
2941
234.1 IPS |
|
|
Object Detection (Q)
|
94% |
2110
168.2 IPS |
|
|
Face Detection (SP)
|
100% |
3242
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
6196
73.6 IPS |
|
|
Face Detection (Q)
|
100% |
3537
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5960
45.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11706
90.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8145
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18071
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29146
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24202
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3799
140.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5151
190.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3931
145.2 IPS |
|
|
Text Classification (SP)
|
100% |
2779
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4802
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4779
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3395
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7113
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7040
121.7 IPS |
