iPad (11th generation)
Geekbench AI Score
3460
Single Precision Score
22633
Half Precision Score
26283
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 01:40 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1353
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
9208
1.71 KIPS |
|
|
Image Classification (Q)
|
97% |
11509
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16173
262.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19023
308.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6348
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
96216
112.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
102355
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
1498
118.8 IPS |
|
|
Object Detection (HP)
|
100% |
12403
983.8 IPS |
|
|
Object Detection (Q)
|
91% |
14666
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3302
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
31696
376.6 IPS |
|
|
Face Detection (Q)
|
100% |
39765
472.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5978
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
71431
550.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
89244
697.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18625
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
171232
220.1 IPS |
|
|
Style Transfer (Q)
|
96% |
171674
221.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3857
142.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32846
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35070
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2760
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2179
2.91 KIPS |
|
|
Text Classification (Q)
|
93% |
2750
3.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3478
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7153
123.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8148
140.8 IPS |
