iPad (11th generation)
Geekbench AI Score
3327
Single Precision Score
3673
Half Precision Score
3413
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 21 2026 08:16 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1099
204.3 IPS |
|
|
Image Classification (HP)
|
100% |
989
183.9 IPS |
|
|
Image Classification (Q)
|
94% |
949
177.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2318
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2423
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2231
36.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9514
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10420
12.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
9900
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1188
94.2 IPS |
|
|
Object Detection (HP)
|
100% |
886
70.2 IPS |
|
|
Object Detection (Q)
|
91% |
982
78.4 IPS |
|
|
Face Detection (SP)
|
100% |
3864
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
5291
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
4763
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6388
49.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7379
56.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6403
50.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17713
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19457
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19014
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2849
105.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2997
110.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2665
98.4 IPS |
|
|
Text Classification (SP)
|
99% |
5176
6.91 KIPS |
|
|
Text Classification (HP)
|
99% |
8320
11.1 KIPS |
|
|
Text Classification (Q)
|
93% |
8244
11.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
896
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1068
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
820
14.2 IPS |
