iPad (11th generation)
Geekbench AI Score
3679
Single Precision Score
6644
Half Precision Score
5396
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2026 08:10 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1391
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
2629
488.9 IPS |
|
|
Image Classification (Q)
|
96% |
1810
338.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1447
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2235
36.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2716
44.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6316
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
15233
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12888
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1497
118.7 IPS |
|
|
Object Detection (HP)
|
97% |
2969
236.4 IPS |
|
|
Object Detection (Q)
|
94% |
2130
169.8 IPS |
|
|
Face Detection (SP)
|
100% |
3325
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
6262
74.4 IPS |
|
|
Face Detection (Q)
|
100% |
3562
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5965
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11778
91.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8171
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18161
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29984
38.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24823
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3776
139.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5164
190.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3929
145.1 IPS |
|
|
Text Classification (SP)
|
100% |
5176
6.91 KIPS |
|
|
Text Classification (HP)
|
99% |
8429
11.3 KIPS |
|
|
Text Classification (Q)
|
93% |
8441
11.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
3397
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6556
113.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6481
112.0 IPS |
