iPad (11th generation)
Geekbench AI Score
3213
Single Precision Score
3375
Half Precision Score
3343
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 01:28 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% |
730
135.7 IPS |
|
|
Image Classification (HP)
|
100% |
673
125.2 IPS |
|
|
Image Classification (Q)
|
94% |
913
170.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2381
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2364
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9421
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10465
12.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
9731
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1044
82.8 IPS |
|
|
Object Detection (HP)
|
100% |
945
75.0 IPS |
|
|
Object Detection (Q)
|
91% |
865
69.1 IPS |
|
|
Face Detection (SP)
|
100% |
4023
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
3985
47.3 IPS |
|
|
Face Detection (Q)
|
100% |
3381
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6710
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6553
50.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7154
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17628
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19413
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19129
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2831
104.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3003
110.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2546
94.0 IPS |
|
|
Text Classification (SP)
|
99% |
5148
6.87 KIPS |
|
|
Text Classification (HP)
|
99% |
8314
11.1 KIPS |
|
|
Text Classification (Q)
|
92% |
8338
11.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
995
17.1 IPS |
|
|
Machine Translation (Q)
|
98% |
977
16.9 IPS |
