iPad (11th generation)
Geekbench AI Score
3451
Single Precision Score
21870
Half Precision Score
25103
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 05 2026 01:20 PM |
| Views | 7 |
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% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
8662
1.61 KIPS |
|
|
Image Classification (Q)
|
97% |
11365
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15936
258.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19072
309.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6472
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
95373
111.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
101986
119.5 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.3 IPS |
|
|
Object Detection (HP)
|
100% |
12286
974.5 IPS |
|
|
Object Detection (Q)
|
91% |
13961
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
30288
359.9 IPS |
|
|
Face Detection (Q)
|
100% |
39690
471.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5980
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
71499
550.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
89827
702.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18821
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
169196
217.5 IPS |
|
|
Style Transfer (Q)
|
96% |
171457
221.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3846
142.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32590
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35789
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2762
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
1826
2.44 KIPS |
|
|
Text Classification (Q)
|
93% |
1799
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3396
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7099
122.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8182
141.4 IPS |
