iPad (11th generation)
Geekbench AI Score
3699
Single Precision Score
22251
Half Precision Score
25739
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2026 09:08 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1393
259.0 IPS |
|
|
Image Classification (HP)
|
100% |
9143
1.70 KIPS |
|
|
Image Classification (Q)
|
97% |
11384
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16303
264.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19602
317.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6452
7.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
95168
111.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
102469
120.1 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (HP)
|
100% |
12505
991.9 IPS |
|
|
Object Detection (Q)
|
89% |
14057
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3349
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
32050
380.8 IPS |
|
|
Face Detection (Q)
|
100% |
45829
544.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5960
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
71447
550.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
91036
711.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18681
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
171764
220.8 IPS |
|
|
Style Transfer (Q)
|
96% |
171811
221.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3793
140.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32926
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35346
1.31 KIPS |
|
|
Text Classification (SP)
|
99% |
5179
6.91 KIPS |
|
|
Text Classification (HP)
|
100% |
1840
2.46 KIPS |
|
|
Text Classification (Q)
|
93% |
1897
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3407
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7040
121.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8263
142.8 IPS |
