iPad (11th generation)
Geekbench AI Score
3456
Single Precision Score
3657
Half Precision Score
3451
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 01 2026 09:53 AM |
| Views | 5 |
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% |
1145
212.9 IPS |
|
|
Image Classification (HP)
|
100% |
1040
193.4 IPS |
|
|
Image Classification (Q)
|
94% |
969
181.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2313
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2314
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2217
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9527
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10393
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9986
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1140
90.4 IPS |
|
|
Object Detection (HP)
|
100% |
1082
85.8 IPS |
|
|
Object Detection (Q)
|
91% |
1016
81.2 IPS |
|
|
Face Detection (SP)
|
100% |
5136
61.0 IPS |
|
|
Face Detection (HP)
|
100% |
5347
63.5 IPS |
|
|
Face Detection (Q)
|
100% |
4734
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6830
52.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6576
50.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7181
56.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17755
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19641
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
19083
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2850
105.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2994
110.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2561
94.6 IPS |
|
|
Text Classification (SP)
|
100% |
5230
6.98 KIPS |
|
|
Text Classification (HP)
|
99% |
8074
10.8 KIPS |
|
|
Text Classification (Q)
|
93% |
8139
10.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
814
14.1 IPS |
