iPad (11th generation)
Geekbench AI Score
3683
Single Precision Score
6656
Half Precision Score
5409
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2026 09:01 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1377
256.1 IPS |
|
|
Image Classification (HP)
|
100% |
2663
495.2 IPS |
|
|
Image Classification (Q)
|
96% |
1825
340.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1418
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2700
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6395
7.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
15229
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13040
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1497
118.7 IPS |
|
|
Object Detection (HP)
|
97% |
2960
235.6 IPS |
|
|
Object Detection (Q)
|
94% |
2116
168.7 IPS |
|
|
Face Detection (SP)
|
100% |
3317
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
6272
74.5 IPS |
|
|
Face Detection (Q)
|
100% |
3568
42.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5985
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11783
91.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8207
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18532
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29970
38.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24852
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3775
139.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5378
198.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3959
146.2 IPS |
|
|
Text Classification (SP)
|
100% |
5173
6.90 KIPS |
|
|
Text Classification (HP)
|
99% |
8443
11.3 KIPS |
|
|
Text Classification (Q)
|
93% |
8353
11.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
3420
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6608
114.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6559
113.3 IPS |
