iPad (11th generation)
Geekbench AI Score
3436
Single Precision Score
6266
Half Precision Score
5126
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 14 2026 08:46 AM |
| Views | 5 |
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% |
1351
251.2 IPS |
|
|
Image Classification (HP)
|
100% |
2659
494.5 IPS |
|
|
Image Classification (Q)
|
96% |
1828
341.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1403
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2691
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6331
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
14992
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12845
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1468
116.4 IPS |
|
|
Object Detection (HP)
|
97% |
2954
235.2 IPS |
|
|
Object Detection (Q)
|
94% |
2114
168.5 IPS |
|
|
Face Detection (SP)
|
100% |
3193
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6206
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
3537
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5983
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11667
90.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8126
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18418
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29187
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24315
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3885
143.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5127
189.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3914
144.5 IPS |
|
|
Text Classification (SP)
|
100% |
2787
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4880
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4777
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3422
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7138
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7188
124.2 IPS |
