iPad (11th generation)
Geekbench AI Score
3662
Single Precision Score
6582
Half Precision Score
5377
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 21 2026 12:21 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1381
256.9 IPS |
|
|
Image Classification (HP)
|
100% |
2605
484.5 IPS |
|
|
Image Classification (Q)
|
96% |
1804
336.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1395
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2702
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6329
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
15139
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12796
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1485
117.8 IPS |
|
|
Object Detection (HP)
|
97% |
2935
233.6 IPS |
|
|
Object Detection (Q)
|
94% |
2113
168.4 IPS |
|
|
Face Detection (SP)
|
100% |
3253
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
6269
74.5 IPS |
|
|
Face Detection (Q)
|
100% |
3562
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5887
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11651
90.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8106
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18428
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29844
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24735
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3791
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5154
190.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3930
145.1 IPS |
|
|
Text Classification (SP)
|
100% |
5218
6.96 KIPS |
|
|
Text Classification (HP)
|
99% |
8371
11.2 KIPS |
|
|
Text Classification (Q)
|
92% |
8467
11.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
3440
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6571
113.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6455
111.6 IPS |
