iPad (11th generation)
Geekbench AI Score
3466
Single Precision Score
21730
Half Precision Score
24252
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 28 2026 11:39 AM |
| Views | 7 |
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% |
1354
251.8 IPS |
|
|
Image Classification (HP)
|
100% |
8907
1.66 KIPS |
|
|
Image Classification (Q)
|
97% |
10307
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1394
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13902
225.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19176
310.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6600
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
95708
111.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
102080
119.6 IPS |
|
|
Object Detection (SP)
|
100% |
1476
117.1 IPS |
|
|
Object Detection (HP)
|
100% |
12389
982.7 IPS |
|
|
Object Detection (Q)
|
91% |
14252
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
31069
369.2 IPS |
|
|
Face Detection (Q)
|
100% |
33883
402.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5991
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
71808
553.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
89278
698.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18844
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
170032
218.6 IPS |
|
|
Style Transfer (Q)
|
96% |
170087
219.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3869
142.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32851
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34711
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2790
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1804
2.41 KIPS |
|
|
Text Classification (Q)
|
93% |
1668
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3420
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7114
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8220
142.0 IPS |
