iPad (11th generation)
Geekbench AI Score
3131
Single Precision Score
3414
Half Precision Score
3110
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 14 2026 08:48 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
734
136.5 IPS |
|
|
Image Classification (HP)
|
100% |
854
158.7 IPS |
|
|
Image Classification (Q)
|
94% |
958
179.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2492
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2384
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9473
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10273
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9627
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1064
84.4 IPS |
|
|
Object Detection (HP)
|
100% |
1022
81.1 IPS |
|
|
Object Detection (Q)
|
91% |
826
66.0 IPS |
|
|
Face Detection (SP)
|
100% |
5081
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
5509
65.5 IPS |
|
|
Face Detection (Q)
|
100% |
3541
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7583
58.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6565
50.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7037
55.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17501
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19479
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19122
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2859
105.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2900
107.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2511
92.7 IPS |
|
|
Text Classification (SP)
|
100% |
2815
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4795
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4794
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
814
14.1 IPS |
