iPad (11th generation)
Geekbench AI Score
3436
Single Precision Score
6262
Half Precision Score
5120
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 01:33 PM |
| Views | 3 |
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% |
1344
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
2645
492.0 IPS |
|
|
Image Classification (Q)
|
96% |
1816
339.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1413
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2671
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6353
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
15131
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12867
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1482
117.6 IPS |
|
|
Object Detection (HP)
|
97% |
2952
235.0 IPS |
|
|
Object Detection (Q)
|
94% |
2114
168.5 IPS |
|
|
Face Detection (SP)
|
100% |
3257
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
6209
73.8 IPS |
|
|
Face Detection (Q)
|
100% |
3546
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5948
45.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11751
90.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8164
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18403
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29203
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24253
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3817
141.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5144
189.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3924
144.9 IPS |
|
|
Text Classification (SP)
|
100% |
2764
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4773
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4817
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3412
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7125
123.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7083
122.4 IPS |
