iPad (11th generation)
Geekbench AI Score
3689
Single Precision Score
22207
Half Precision Score
25881
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2026 09:08 AM |
| Views | 12 |
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% |
1375
255.8 IPS |
|
|
Image Classification (HP)
|
100% |
9638
1.79 KIPS |
|
|
Image Classification (Q)
|
97% |
11370
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16230
263.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19563
317.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6499
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
95197
111.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
102498
120.1 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
100% |
12354
979.9 IPS |
|
|
Object Detection (Q)
|
89% |
14599
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3308
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
28556
339.3 IPS |
|
|
Face Detection (Q)
|
100% |
45910
545.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5992
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
72322
557.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
91622
716.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18697
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
173480
223.0 IPS |
|
|
Style Transfer (Q)
|
96% |
171971
221.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3792
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32834
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35280
1.30 KIPS |
|
|
Text Classification (SP)
|
99% |
5151
6.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1901
2.54 KIPS |
|
|
Text Classification (Q)
|
93% |
1911
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7090
122.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8308
143.6 IPS |
