iPad (11th generation)
Geekbench AI Score
2929
Single Precision Score
3270
Half Precision Score
3115
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 05 2026 01:18 PM |
| Views | 15 |
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% |
519
96.5 IPS |
|
|
Image Classification (HP)
|
100% |
609
113.2 IPS |
|
|
Image Classification (Q)
|
94% |
949
177.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2441
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2331
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2349
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9585
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10338
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9691
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1077
85.5 IPS |
|
|
Object Detection (HP)
|
100% |
1052
83.4 IPS |
|
|
Object Detection (Q)
|
90% |
795
63.6 IPS |
|
|
Face Detection (SP)
|
100% |
4997
59.4 IPS |
|
|
Face Detection (HP)
|
100% |
5346
63.5 IPS |
|
|
Face Detection (Q)
|
100% |
4511
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7186
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7828
60.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6573
51.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17567
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19442
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19000
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2669
98.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2768
102.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2501
92.3 IPS |
|
|
Text Classification (SP)
|
100% |
2781
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4942
6.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4811
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
759
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
814
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
739
12.8 IPS |
