iPad (11th generation)
Geekbench AI Score
3931
Single Precision Score
4366
Half Precision Score
3735
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 09:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1333
247.9 IPS |
|
|
Image Classification (HP)
|
100% |
1186
220.5 IPS |
|
|
Image Classification (Q)
|
94% |
1416
264.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2546
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1123
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9358
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10573
12.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
9670
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1241
98.5 IPS |
|
|
Object Detection (HP)
|
100% |
1326
105.2 IPS |
|
|
Object Detection (Q)
|
91% |
1384
110.6 IPS |
|
|
Face Detection (SP)
|
100% |
4705
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
3547
42.1 IPS |
|
|
Face Detection (Q)
|
100% |
2951
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7261
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8576
66.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6783
53.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17382
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19325
24.8 IPS |
|
|
Style Transfer (Q)
|
96% |
18819
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4140
152.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4885
180.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3465
128.0 IPS |
|
|
Text Classification (SP)
|
99% |
4671
6.23 KIPS |
|
|
Text Classification (HP)
|
99% |
7352
9.81 KIPS |
|
|
Text Classification (Q)
|
93% |
7298
9.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2317
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2822
48.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2607
45.1 IPS |
