iPad (11th generation)
Geekbench AI Score
3624
Single Precision Score
6596
Half Precision Score
5394
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 08 2026 08:46 AM |
| Views | 5 |
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% |
1354
251.9 IPS |
|
|
Image Classification (HP)
|
100% |
2561
476.3 IPS |
|
|
Image Classification (Q)
|
96% |
1809
337.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2694
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6177
7.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
14901
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12490
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1480
117.4 IPS |
|
|
Object Detection (HP)
|
97% |
2956
235.4 IPS |
|
|
Object Detection (Q)
|
94% |
2129
169.7 IPS |
|
|
Face Detection (SP)
|
100% |
3216
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
6196
73.6 IPS |
|
|
Face Detection (Q)
|
100% |
3539
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5889
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11682
90.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8108
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18043
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
30005
38.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24804
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3735
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5140
189.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3955
146.0 IPS |
|
|
Text Classification (SP)
|
99% |
5208
6.95 KIPS |
|
|
Text Classification (HP)
|
100% |
8737
11.7 KIPS |
|
|
Text Classification (Q)
|
93% |
8582
11.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
3389
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6604
114.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6666
115.2 IPS |
