iPad (11th generation)
Geekbench AI Score
3286
Single Precision Score
3301
Half Precision Score
3374
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2026 09:06 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
739
137.4 IPS |
|
|
Image Classification (HP)
|
100% |
530
98.7 IPS |
|
|
Image Classification (Q)
|
94% |
926
173.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2437
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2449
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2375
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9343
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10338
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9659
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1026
81.4 IPS |
|
|
Object Detection (HP)
|
100% |
1030
81.7 IPS |
|
|
Object Detection (Q)
|
91% |
772
61.7 IPS |
|
|
Face Detection (SP)
|
100% |
4931
58.6 IPS |
|
|
Face Detection (HP)
|
100% |
3791
45.0 IPS |
|
|
Face Detection (Q)
|
100% |
5023
59.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7584
58.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6485
50.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7019
54.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17632
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19563
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19173
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2772
102.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2896
106.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2542
93.9 IPS |
|
|
Text Classification (SP)
|
99% |
5302
7.08 KIPS |
|
|
Text Classification (HP)
|
100% |
8526
11.4 KIPS |
|
|
Text Classification (Q)
|
92% |
8325
11.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
879
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
817
14.1 IPS |
