iPad (11th generation)
Geekbench AI Score
3405
Single Precision Score
6225
Half Precision Score
5088
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 07 2026 08:25 AM |
| Views | 3 |
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% |
1350
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
2632
489.5 IPS |
|
|
Image Classification (Q)
|
96% |
1831
341.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1393
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2669
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6192
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
14943
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12564
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1477
117.1 IPS |
|
|
Object Detection (HP)
|
97% |
2945
234.4 IPS |
|
|
Object Detection (Q)
|
94% |
2118
168.8 IPS |
|
|
Face Detection (SP)
|
100% |
3181
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6177
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3526
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5830
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11651
90.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8146
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18256
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29113
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24247
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3840
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5120
189.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3915
144.6 IPS |
|
|
Text Classification (SP)
|
100% |
2752
3.67 KIPS |
|
|
Text Classification (HP)
|
99% |
4790
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4725
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3410
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6955
120.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6947
120.0 IPS |
