iPad (11th generation)
Geekbench AI Score
3408
Single Precision Score
6232
Half Precision Score
5085
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 05 2026 01:18 PM |
| Views | 12 |
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% |
1341
249.4 IPS |
|
|
Image Classification (HP)
|
100% |
2627
488.5 IPS |
|
|
Image Classification (Q)
|
96% |
1802
336.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2668
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6216
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
14838
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12564
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1466
116.3 IPS |
|
|
Object Detection (HP)
|
97% |
2938
233.9 IPS |
|
|
Object Detection (Q)
|
94% |
2108
168.0 IPS |
|
|
Face Detection (SP)
|
100% |
3254
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
6185
73.5 IPS |
|
|
Face Detection (Q)
|
100% |
3536
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5845
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11847
91.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8140
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17876
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29084
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24176
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3808
140.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5079
187.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3904
144.2 IPS |
|
|
Text Classification (SP)
|
100% |
2775
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4780
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4748
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3434
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7050
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7047
121.8 IPS |
