iPad (11th generation)
Geekbench AI Score
3447
Single Precision Score
6277
Half Precision Score
5132
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 27 2026 11:51 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1304
242.6 IPS |
|
|
Image Classification (HP)
|
100% |
2624
487.9 IPS |
|
|
Image Classification (Q)
|
96% |
1829
341.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2671
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6580
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
15353
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13049
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1475
117.0 IPS |
|
|
Object Detection (HP)
|
97% |
2954
235.1 IPS |
|
|
Object Detection (Q)
|
94% |
2115
168.6 IPS |
|
|
Face Detection (SP)
|
100% |
3251
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
6214
73.8 IPS |
|
|
Face Detection (Q)
|
100% |
3542
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6083
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11734
90.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8151
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18767
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29178
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24292
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3855
142.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5141
189.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3915
144.6 IPS |
|
|
Text Classification (SP)
|
100% |
2753
3.67 KIPS |
|
|
Text Classification (HP)
|
99% |
4824
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4831
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3408
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7133
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7096
122.6 IPS |
