iPad (11th generation)
Geekbench AI Score
3440
Single Precision Score
23033
Half Precision Score
26138
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 03 2026 01:53 PM |
| Views | 10 |
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% |
1313
244.3 IPS |
|
|
Image Classification (HP)
|
100% |
9304
1.73 KIPS |
|
|
Image Classification (Q)
|
97% |
11390
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1419
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16259
263.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19280
312.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6409
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
98823
115.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
102498
120.1 IPS |
|
|
Object Detection (SP)
|
100% |
1497
118.7 IPS |
|
|
Object Detection (HP)
|
100% |
12678
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
13856
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3278
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
29458
350.0 IPS |
|
|
Face Detection (Q)
|
100% |
39938
474.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5704
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
71823
553.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
91170
712.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18638
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
170831
219.6 IPS |
|
|
Style Transfer (Q)
|
96% |
172593
222.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3878
143.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31835
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34772
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2760
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2693
3.59 KIPS |
|
|
Text Classification (Q)
|
93% |
2655
3.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3481
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7156
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8229
142.2 IPS |
