iPad (11th generation)
Geekbench AI Score
3684
Single Precision Score
21972
Half Precision Score
25559
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 21 2026 08:17 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1397
259.7 IPS |
|
|
Image Classification (HP)
|
100% |
8832
1.64 KIPS |
|
|
Image Classification (Q)
|
97% |
10834
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13983
226.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19767
320.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6284
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
94408
110.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
101884
119.4 IPS |
|
|
Object Detection (SP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (HP)
|
100% |
12623
1.00 KIPS |
|
|
Object Detection (Q)
|
89% |
14640
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3303
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
28567
339.4 IPS |
|
|
Face Detection (Q)
|
100% |
41697
495.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5974
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
71766
552.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
94011
734.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18453
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
175169
225.2 IPS |
|
|
Style Transfer (Q)
|
96% |
171424
221.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3780
139.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32407
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34968
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
5201
6.94 KIPS |
|
|
Text Classification (HP)
|
100% |
2145
2.86 KIPS |
|
|
Text Classification (Q)
|
93% |
1937
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3425
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7138
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8184
141.4 IPS |
