iPad (11th generation)
Geekbench AI Score
3428
Single Precision Score
6272
Half Precision Score
5113
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 08 2026 07:04 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1352
251.5 IPS |
|
|
Image Classification (HP)
|
100% |
2649
492.6 IPS |
|
|
Image Classification (Q)
|
96% |
1821
340.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1393
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2674
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6452
7.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
15272
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12864
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1482
117.5 IPS |
|
|
Object Detection (HP)
|
97% |
2956
235.3 IPS |
|
|
Object Detection (Q)
|
94% |
2113
168.4 IPS |
|
|
Face Detection (SP)
|
100% |
3188
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6208
73.8 IPS |
|
|
Face Detection (Q)
|
100% |
3541
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5897
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11686
90.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8170
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18638
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29198
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24272
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3818
141.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5100
188.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3895
143.8 IPS |
|
|
Text Classification (SP)
|
100% |
2739
3.66 KIPS |
|
|
Text Classification (HP)
|
99% |
4860
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4754
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3402
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7119
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7107
122.8 IPS |
