iPad (11th generation)
Geekbench AI Score
2965
Single Precision Score
3368
Half Precision Score
3037
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 10 2026 11:06 AM |
| Views | 6 |
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% |
700
130.1 IPS |
|
|
Image Classification (HP)
|
100% |
937
174.2 IPS |
|
|
Image Classification (Q)
|
94% |
863
161.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2420
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2446
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2319
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9328
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10341
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9685
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1003
79.6 IPS |
|
|
Object Detection (HP)
|
100% |
1012
80.3 IPS |
|
|
Object Detection (Q)
|
90% |
786
62.8 IPS |
|
|
Face Detection (SP)
|
100% |
5234
62.2 IPS |
|
|
Face Detection (HP)
|
100% |
5418
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
4159
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7255
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7756
59.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6400
50.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17497
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19459
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19134
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2647
97.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2784
102.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2265
83.6 IPS |
|
|
Text Classification (SP)
|
100% |
2776
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4721
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4756
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (Q)
|
98% |
799
13.8 IPS |
