iPad (11th generation)
Geekbench AI Score
3672
Single Precision Score
22720
Half Precision Score
26763
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 14 2026 09:58 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1389
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
9290
1.73 KIPS |
|
|
Image Classification (Q)
|
97% |
10981
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1421
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14207
230.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19647
318.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6262
7.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
95719
111.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
102077
119.6 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
100% |
12137
962.7 IPS |
|
|
Object Detection (Q)
|
89% |
14620
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3277
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
32992
392.0 IPS |
|
|
Face Detection (Q)
|
100% |
46113
547.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5867
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
72644
559.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
91176
712.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18525
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
174775
224.7 IPS |
|
|
Style Transfer (Q)
|
96% |
174956
225.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3841
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32663
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35834
1.32 KIPS |
|
|
Text Classification (SP)
|
99% |
5179
6.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2480
3.31 KIPS |
|
|
Text Classification (Q)
|
93% |
2711
3.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7045
121.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8195
141.6 IPS |
