iPad (11th generation)
Geekbench AI Score
3698
Single Precision Score
21780
Half Precision Score
25765
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2026 08:55 AM |
| Views | 8 |
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% |
1390
258.5 IPS |
|
|
Image Classification (HP)
|
100% |
9285
1.73 KIPS |
|
|
Image Classification (Q)
|
97% |
10678
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13776
223.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19742
320.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6414
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
98901
115.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
102441
120.1 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
100% |
12324
977.6 IPS |
|
|
Object Detection (Q)
|
89% |
14609
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3334
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
28487
338.5 IPS |
|
|
Face Detection (Q)
|
100% |
46218
549.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5985
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
72335
557.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
91378
714.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18704
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
171384
220.3 IPS |
|
|
Style Transfer (Q)
|
96% |
173585
224.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3810
140.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32992
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35693
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
5158
6.88 KIPS |
|
|
Text Classification (HP)
|
100% |
1838
2.45 KIPS |
|
|
Text Classification (Q)
|
93% |
1893
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3417
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7195
123.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8252
142.6 IPS |
