iPad (11th generation)
Geekbench AI Score
3284
Single Precision Score
3558
Half Precision Score
3264
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2026 08:53 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
687
127.7 IPS |
|
|
Image Classification (HP)
|
100% |
910
169.2 IPS |
|
|
Image Classification (Q)
|
94% |
945
176.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2374
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2424
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2381
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9375
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10334
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9756
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1067
84.7 IPS |
|
|
Object Detection (HP)
|
100% |
1034
82.1 IPS |
|
|
Object Detection (Q)
|
91% |
878
70.1 IPS |
|
|
Face Detection (SP)
|
100% |
5046
60.0 IPS |
|
|
Face Detection (HP)
|
100% |
3921
46.6 IPS |
|
|
Face Detection (Q)
|
100% |
3252
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7650
58.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8053
62.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6696
52.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17656
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19563
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19179
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2856
105.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2841
104.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2556
94.4 IPS |
|
|
Text Classification (SP)
|
99% |
5260
7.02 KIPS |
|
|
Text Classification (HP)
|
99% |
8239
11.0 KIPS |
|
|
Text Classification (Q)
|
92% |
8199
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
875
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
955
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
814
14.1 IPS |
