iPad (11th generation)
Geekbench AI Score
3675
Single Precision Score
22362
Half Precision Score
26588
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 21 2026 12:26 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1378
256.2 IPS |
|
|
Image Classification (HP)
|
100% |
9268
1.72 KIPS |
|
|
Image Classification (Q)
|
97% |
11010
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1418
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13587
220.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19765
320.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6300
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
98045
114.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
102912
120.6 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
100% |
12573
997.3 IPS |
|
|
Object Detection (Q)
|
89% |
14460
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
30579
363.4 IPS |
|
|
Face Detection (Q)
|
100% |
46795
556.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5977
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
72033
555.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
90959
710.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18542
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
171436
220.4 IPS |
|
|
Style Transfer (Q)
|
96% |
172530
222.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3775
139.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32695
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34846
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
5177
6.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (Q)
|
93% |
2643
3.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3415
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7142
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8061
139.3 IPS |
