iPad (11th generation)
Geekbench AI Score
3056
Single Precision Score
3327
Half Precision Score
3127
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 07 2026 08:28 AM |
| Views | 3 |
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% |
540
100.4 IPS |
|
|
Image Classification (HP)
|
100% |
517
96.2 IPS |
|
|
Image Classification (Q)
|
94% |
614
114.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2478
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2215
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9522
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10364
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9924
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1154
91.5 IPS |
|
|
Object Detection (HP)
|
100% |
1110
88.0 IPS |
|
|
Object Detection (Q)
|
91% |
965
77.1 IPS |
|
|
Face Detection (SP)
|
100% |
5043
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
5410
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
4902
58.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6688
51.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7319
56.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6306
49.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17541
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19771
25.4 IPS |
|
|
Style Transfer (Q)
|
96% |
19010
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2856
105.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2972
109.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2647
97.7 IPS |
|
|
Text Classification (SP)
|
100% |
2747
3.67 KIPS |
|
|
Text Classification (HP)
|
99% |
4868
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4814
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1065
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
919
15.9 IPS |
