iPad (11th generation)
Geekbench AI Score
3434
Single Precision Score
6253
Half Precision Score
5106
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 28 2026 11:35 AM |
| Views | 6 |
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% |
1353
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
2614
486.1 IPS |
|
|
Image Classification (Q)
|
96% |
1796
335.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2677
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6317
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
14962
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12797
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1475
117.0 IPS |
|
|
Object Detection (HP)
|
97% |
2950
234.8 IPS |
|
|
Object Detection (Q)
|
94% |
2119
168.9 IPS |
|
|
Face Detection (SP)
|
100% |
3245
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
6227
74.0 IPS |
|
|
Face Detection (Q)
|
100% |
3536
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5978
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11738
90.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8157
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18387
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29154
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24262
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3837
141.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5126
189.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3879
143.2 IPS |
|
|
Text Classification (SP)
|
100% |
2752
3.67 KIPS |
|
|
Text Classification (HP)
|
99% |
4865
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4784
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3427
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7080
122.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7127
123.2 IPS |
