iPad (11th generation)
Geekbench AI Score
3629
Single Precision Score
6554
Half Precision Score
5351
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 01 2026 09:18 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1382
257.1 IPS |
|
|
Image Classification (HP)
|
100% |
2602
483.9 IPS |
|
|
Image Classification (Q)
|
96% |
1810
338.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2680
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6076
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
14736
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12450
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1483
117.6 IPS |
|
|
Object Detection (HP)
|
97% |
2944
234.3 IPS |
|
|
Object Detection (Q)
|
94% |
2108
168.0 IPS |
|
|
Face Detection (SP)
|
100% |
3243
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
6194
73.6 IPS |
|
|
Face Detection (Q)
|
100% |
3533
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5861
45.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11686
90.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8089
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17861
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29895
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24704
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3764
139.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5119
189.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3899
144.0 IPS |
|
|
Text Classification (SP)
|
99% |
5186
6.92 KIPS |
|
|
Text Classification (HP)
|
100% |
8364
11.2 KIPS |
|
|
Text Classification (Q)
|
93% |
8353
11.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
3427
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6562
113.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6587
113.8 IPS |
