iPad (11th generation)
Geekbench AI Score
3394
Single Precision Score
22632
Half Precision Score
25635
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 14 2026 08:51 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1309
243.4 IPS |
|
|
Image Classification (HP)
|
100% |
9352
1.74 KIPS |
|
|
Image Classification (Q)
|
97% |
11710
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1399
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13974
226.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18987
307.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6092
7.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
96656
112.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
102488
120.1 IPS |
|
|
Object Detection (SP)
|
100% |
1468
116.4 IPS |
|
|
Object Detection (HP)
|
100% |
12400
983.6 IPS |
|
|
Object Detection (Q)
|
91% |
14533
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3174
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
31781
377.6 IPS |
|
|
Face Detection (Q)
|
100% |
39724
472.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5907
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
70964
546.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
88098
688.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17985
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
171746
220.8 IPS |
|
|
Style Transfer (Q)
|
96% |
172583
222.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3913
144.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32744
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35247
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2751
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
2480
3.31 KIPS |
|
|
Text Classification (Q)
|
93% |
2110
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3413
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7157
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8240
142.4 IPS |
