iPad (11th generation)
Geekbench AI Score
3461
Single Precision Score
21568
Half Precision Score
24819
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 06:40 PM |
| Views | 4 |
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% |
1351
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
8706
1.62 KIPS |
|
|
Image Classification (Q)
|
97% |
10836
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1403
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13606
220.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19210
311.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6540
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
97781
114.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
101918
119.5 IPS |
|
|
Object Detection (SP)
|
100% |
1490
118.2 IPS |
|
|
Object Detection (HP)
|
100% |
12487
990.5 IPS |
|
|
Object Detection (Q)
|
91% |
14390
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3270
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
27901
331.5 IPS |
|
|
Face Detection (Q)
|
100% |
35111
417.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5982
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
71726
552.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
89013
695.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18802
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
169820
218.3 IPS |
|
|
Style Transfer (Q)
|
96% |
172351
222.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3879
143.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33512
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35566
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2753
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1861
2.48 KIPS |
|
|
Text Classification (Q)
|
93% |
1849
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3408
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7106
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8203
141.8 IPS |
