iPad (11th generation)
Geekbench AI Score
3666
Single Precision Score
6579
Half Precision Score
5371
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2026 08:10 PM |
| Views | 9 |
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% |
1397
259.8 IPS |
|
|
Image Classification (HP)
|
100% |
2625
488.3 IPS |
|
|
Image Classification (Q)
|
96% |
1811
338.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1416
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2703
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6219
7.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
14757
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12628
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1483
117.7 IPS |
|
|
Object Detection (HP)
|
97% |
2957
235.4 IPS |
|
|
Object Detection (Q)
|
94% |
2116
168.7 IPS |
|
|
Face Detection (SP)
|
100% |
3339
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
6247
74.2 IPS |
|
|
Face Detection (Q)
|
100% |
3550
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5986
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11756
90.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8177
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17970
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29912
38.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24714
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3761
138.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5154
190.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3924
144.9 IPS |
|
|
Text Classification (SP)
|
99% |
5216
6.96 KIPS |
|
|
Text Classification (HP)
|
99% |
8391
11.2 KIPS |
|
|
Text Classification (Q)
|
92% |
8404
11.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
3411
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6481
112.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6461
111.7 IPS |
