iPad (11th generation)
Geekbench AI Score
3446
Single Precision Score
6269
Half Precision Score
5114
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 10 2026 11:03 AM |
| Views | 7 |
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% |
2620
487.3 IPS |
|
|
Image Classification (Q)
|
96% |
1813
338.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1403
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2671
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6476
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
15337
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13082
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1474
116.9 IPS |
|
|
Object Detection (HP)
|
97% |
2952
235.0 IPS |
|
|
Object Detection (Q)
|
94% |
2115
168.6 IPS |
|
|
Face Detection (SP)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6213
73.8 IPS |
|
|
Face Detection (Q)
|
100% |
3545
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6001
46.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11765
90.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8146
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18729
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29178
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24266
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3826
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5139
189.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3913
144.5 IPS |
|
|
Text Classification (SP)
|
100% |
2761
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4866
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4772
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3403
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7056
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6985
120.7 IPS |
