iPad (11th generation)
Geekbench AI Score
3240
Single Precision Score
3467
Half Precision Score
3299
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 01 2026 09:21 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
727
135.3 IPS |
|
|
Image Classification (HP)
|
100% |
524
97.4 IPS |
|
|
Image Classification (Q)
|
94% |
624
116.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2280
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2331
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2222
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9514
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10365
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9966
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1003
79.6 IPS |
|
|
Object Detection (HP)
|
100% |
1059
84.0 IPS |
|
|
Object Detection (Q)
|
91% |
980
78.4 IPS |
|
|
Face Detection (SP)
|
100% |
5131
61.0 IPS |
|
|
Face Detection (HP)
|
100% |
5443
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
4810
57.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6476
49.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6540
50.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7001
54.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17664
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19740
25.4 IPS |
|
|
Style Transfer (Q)
|
96% |
19011
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2826
104.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2925
108.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2630
97.1 IPS |
|
|
Text Classification (SP)
|
100% |
5394
7.20 KIPS |
|
|
Text Classification (HP)
|
100% |
8686
11.6 KIPS |
|
|
Text Classification (Q)
|
92% |
8205
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
902
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
817
14.1 IPS |
