iPad (11th generation)
Geekbench AI Score
3140
Single Precision Score
3218
Half Precision Score
3065
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 07 2026 09:17 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% |
1136
211.3 IPS |
|
|
Image Classification (HP)
|
100% |
525
97.6 IPS |
|
|
Image Classification (Q)
|
94% |
618
115.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2350
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2309
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2272
36.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9360
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10373
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10010
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1160
92.0 IPS |
|
|
Object Detection (HP)
|
100% |
1056
83.8 IPS |
|
|
Object Detection (Q)
|
91% |
1037
82.9 IPS |
|
|
Face Detection (SP)
|
100% |
3870
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
5336
63.4 IPS |
|
|
Face Detection (Q)
|
100% |
3636
43.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6739
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6728
51.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7166
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17527
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19439
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19053
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2847
105.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2894
106.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2619
96.7 IPS |
|
|
Text Classification (SP)
|
100% |
2742
3.66 KIPS |
|
|
Text Classification (HP)
|
99% |
4711
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4720
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
901
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
943
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
820
14.2 IPS |
