iPad (11th generation)
Geekbench AI Score
3423
Single Precision Score
22657
Half Precision Score
25742
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 07 2026 09:19 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1348
250.6 IPS |
|
|
Image Classification (HP)
|
100% |
9649
1.79 KIPS |
|
|
Image Classification (Q)
|
97% |
10868
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1393
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14792
239.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
17127
277.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6348
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
98767
115.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
103831
121.7 IPS |
|
|
Object Detection (SP)
|
100% |
1488
118.0 IPS |
|
|
Object Detection (HP)
|
100% |
12350
979.6 IPS |
|
|
Object Detection (Q)
|
91% |
14463
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3185
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
30720
365.0 IPS |
|
|
Face Detection (Q)
|
100% |
36325
431.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5853
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
71800
553.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
91136
712.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18593
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
174890
224.8 IPS |
|
|
Style Transfer (Q)
|
96% |
173015
223.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3831
141.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32569
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35420
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2757
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (Q)
|
93% |
2708
3.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7085
122.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8323
143.8 IPS |
