iPad (11th generation)
Geekbench AI Score
3457
Single Precision Score
22072
Half Precision Score
24899
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 05 2026 01:22 PM |
| Views | 12 |
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% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
8923
1.66 KIPS |
|
|
Image Classification (Q)
|
97% |
10907
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1411
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13665
221.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19233
311.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6434
7.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
95122
111.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
101907
119.4 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.7 IPS |
|
|
Object Detection (HP)
|
100% |
12196
967.4 IPS |
|
|
Object Detection (Q)
|
91% |
14011
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3279
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
29984
356.3 IPS |
|
|
Face Detection (Q)
|
100% |
40347
479.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5978
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
72086
555.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
90146
704.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18740
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
169316
217.7 IPS |
|
|
Style Transfer (Q)
|
96% |
172470
222.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3830
141.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32512
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34993
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2758
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (Q)
|
93% |
1692
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3430
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7179
123.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8234
142.3 IPS |
