iPad (11th generation)
Geekbench AI Score
3368
Single Precision Score
3546
Half Precision Score
3242
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 14 2026 09:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
1115
207.4 IPS |
|
|
Image Classification (HP)
|
100% |
638
118.7 IPS |
|
|
Image Classification (Q)
|
94% |
625
116.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2310
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2221
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9557
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10422
12.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
9978
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1139
90.3 IPS |
|
|
Object Detection (HP)
|
100% |
1107
87.8 IPS |
|
|
Object Detection (Q)
|
91% |
989
79.0 IPS |
|
|
Face Detection (SP)
|
100% |
3969
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
5285
62.8 IPS |
|
|
Face Detection (Q)
|
100% |
3659
43.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6933
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6705
51.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6454
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17738
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19499
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19002
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2952
109.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2991
110.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2647
97.7 IPS |
|
|
Text Classification (SP)
|
100% |
5183
6.92 KIPS |
|
|
Text Classification (HP)
|
99% |
8191
10.9 KIPS |
|
|
Text Classification (Q)
|
93% |
8276
11.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
897
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1077
18.6 IPS |
|
|
Machine Translation (Q)
|
98% |
953
16.5 IPS |
