iPad (11th generation)
Geekbench AI Score
3593
Single Precision Score
6583
Half Precision Score
5341
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 09:42 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1381
256.8 IPS |
|
|
Image Classification (HP)
|
100% |
2632
489.6 IPS |
|
|
Image Classification (Q)
|
96% |
1826
341.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1415
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2687
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5913
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
14542
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12210
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1442
114.3 IPS |
|
|
Object Detection (HP)
|
97% |
2944
234.4 IPS |
|
|
Object Detection (Q)
|
94% |
2109
168.1 IPS |
|
|
Face Detection (SP)
|
100% |
3153
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6142
73.0 IPS |
|
|
Face Detection (Q)
|
100% |
3501
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5864
45.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11795
91.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8222
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17442
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29539
38.0 IPS |
|
|
Style Transfer (Q)
|
96% |
24413
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3765
139.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5434
200.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3923
144.9 IPS |
|
|
Text Classification (SP)
|
99% |
5234
6.99 KIPS |
|
|
Text Classification (HP)
|
100% |
8345
11.1 KIPS |
|
|
Text Classification (Q)
|
93% |
8307
11.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
3392
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6487
112.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6529
112.8 IPS |
