iPad (11th generation)
Geekbench AI Score
3681
Single Precision Score
6581
Half Precision Score
5362
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 21 2026 08:12 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1401
260.6 IPS |
|
|
Image Classification (HP)
|
100% |
2665
495.6 IPS |
|
|
Image Classification (Q)
|
96% |
1834
342.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1416
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2156
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2703
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6328
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
14872
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12849
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1490
118.2 IPS |
|
|
Object Detection (HP)
|
97% |
2970
236.4 IPS |
|
|
Object Detection (Q)
|
94% |
2124
169.3 IPS |
|
|
Face Detection (SP)
|
100% |
3326
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
6241
74.2 IPS |
|
|
Face Detection (Q)
|
100% |
3546
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5979
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11688
90.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8155
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18259
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29837
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24704
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3793
140.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4707
173.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3719
137.3 IPS |
|
|
Text Classification (SP)
|
99% |
5207
6.95 KIPS |
|
|
Text Classification (HP)
|
99% |
8510
11.4 KIPS |
|
|
Text Classification (Q)
|
93% |
8309
11.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
3409
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6892
119.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6580
113.7 IPS |
