iPad (11th generation)
Geekbench AI Score
3445
Single Precision Score
22569
Half Precision Score
25755
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 01:37 PM |
| Views | 9 |
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% |
1322
245.9 IPS |
|
|
Image Classification (HP)
|
100% |
9176
1.71 KIPS |
|
|
Image Classification (Q)
|
97% |
10852
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1407
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16252
263.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19270
312.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6423
7.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
94969
110.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
103307
121.1 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.7 IPS |
|
|
Object Detection (HP)
|
100% |
12377
981.7 IPS |
|
|
Object Detection (Q)
|
91% |
14290
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3220
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
29072
345.4 IPS |
|
|
Face Detection (Q)
|
100% |
36136
429.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5986
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
71681
552.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
92896
726.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18722
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
172009
221.1 IPS |
|
|
Style Transfer (Q)
|
96% |
172972
223.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3860
142.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32482
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35157
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2777
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2402
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2490
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3406
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6997
120.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8185
141.4 IPS |
