iPad (11th generation)
Geekbench AI Score
2968
Single Precision Score
3437
Half Precision Score
2873
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 14 2026 08:48 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
672
124.9 IPS |
|
|
Image Classification (HP)
|
100% |
968
180.0 IPS |
|
|
Image Classification (Q)
|
94% |
486
90.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2372
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2341
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9512
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10312
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9651
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1043
82.8 IPS |
|
|
Object Detection (HP)
|
100% |
896
71.1 IPS |
|
|
Object Detection (Q)
|
91% |
747
59.7 IPS |
|
|
Face Detection (SP)
|
100% |
3802
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
5465
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
3518
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7312
56.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6401
49.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6140
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17512
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19524
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19088
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2862
105.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3054
112.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2533
93.5 IPS |
|
|
Text Classification (SP)
|
100% |
2747
3.67 KIPS |
|
|
Text Classification (HP)
|
99% |
4808
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4806
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
878
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
933
16.1 IPS |
