iPad (11th generation)
Geekbench AI Score
3447
Single Precision Score
22908
Half Precision Score
25738
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 14 2026 08:51 AM |
| 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% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
9017
1.68 KIPS |
|
|
Image Classification (Q)
|
97% |
11291
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15133
245.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19227
311.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6465
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
98179
114.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
102080
119.6 IPS |
|
|
Object Detection (SP)
|
100% |
1494
118.5 IPS |
|
|
Object Detection (HP)
|
100% |
12745
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14147
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3238
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
31392
373.0 IPS |
|
|
Face Detection (Q)
|
100% |
38055
452.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5844
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
71769
552.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
89500
699.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18810
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
173581
223.1 IPS |
|
|
Style Transfer (Q)
|
96% |
173360
223.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3849
142.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33580
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35943
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
2743
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
2480
3.31 KIPS |
|
|
Text Classification (Q)
|
93% |
2289
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3395
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7160
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8378
144.8 IPS |
