iPad (11th generation)
Geekbench AI Score
3695
Single Precision Score
6593
Half Precision Score
5386
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 09:30 AM |
| Views | 3 |
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% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
2619
487.1 IPS |
|
|
Image Classification (Q)
|
96% |
1816
339.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2160
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2693
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6361
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
15144
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12971
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
97% |
2967
236.2 IPS |
|
|
Object Detection (Q)
|
94% |
2120
169.0 IPS |
|
|
Face Detection (SP)
|
100% |
3331
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
6262
74.4 IPS |
|
|
Face Detection (Q)
|
100% |
3558
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5984
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11788
91.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8198
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18526
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29969
38.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24787
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3782
139.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5103
188.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3900
144.0 IPS |
|
|
Text Classification (SP)
|
99% |
5280
7.05 KIPS |
|
|
Text Classification (HP)
|
99% |
8275
11.0 KIPS |
|
|
Text Classification (Q)
|
92% |
8350
11.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
3419
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6545
113.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6496
112.3 IPS |
