iPad (11th generation)
Geekbench AI Score
3672
Single Precision Score
6595
Half Precision Score
5373
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2026 08:51 AM |
| Views | 7 |
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% |
1395
259.5 IPS |
|
|
Image Classification (HP)
|
100% |
2645
491.8 IPS |
|
|
Image Classification (Q)
|
96% |
1809
337.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1411
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2156
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2699
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6311
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
15131
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12767
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1489
118.1 IPS |
|
|
Object Detection (HP)
|
97% |
2961
235.7 IPS |
|
|
Object Detection (Q)
|
94% |
2120
169.0 IPS |
|
|
Face Detection (SP)
|
100% |
3323
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
6248
74.2 IPS |
|
|
Face Detection (Q)
|
100% |
3558
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5984
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11792
91.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8190
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18300
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29976
38.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24816
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3781
139.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5114
188.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3903
144.1 IPS |
|
|
Text Classification (SP)
|
99% |
5165
6.89 KIPS |
|
|
Text Classification (HP)
|
99% |
8281
11.1 KIPS |
|
|
Text Classification (Q)
|
92% |
8208
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
3393
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6523
112.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6562
113.4 IPS |
