iPad (11th generation)
Geekbench AI Score
3444
Single Precision Score
3700
Half Precision Score
3439
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 21 2026 12:24 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1144
212.7 IPS |
|
|
Image Classification (HP)
|
100% |
1070
199.0 IPS |
|
|
Image Classification (Q)
|
94% |
996
186.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2349
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2372
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2194
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9666
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
10382
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10066
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1112
88.2 IPS |
|
|
Object Detection (HP)
|
100% |
1126
89.3 IPS |
|
|
Object Detection (Q)
|
91% |
939
75.0 IPS |
|
|
Face Detection (SP)
|
100% |
5124
60.9 IPS |
|
|
Face Detection (HP)
|
100% |
5454
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
4831
57.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6646
51.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6623
51.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6487
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17760
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19441
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19227
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2849
105.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2881
106.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2599
96.0 IPS |
|
|
Text Classification (SP)
|
99% |
5190
6.93 KIPS |
|
|
Text Classification (HP)
|
99% |
8336
11.1 KIPS |
|
|
Text Classification (Q)
|
93% |
8340
11.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
910
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
963
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
860
14.9 IPS |
