iPad (11th generation)
Geekbench AI Score
3693
Single Precision Score
23251
Half Precision Score
26475
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2026 08:15 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1400
260.4 IPS |
|
|
Image Classification (HP)
|
100% |
9647
1.79 KIPS |
|
|
Image Classification (Q)
|
97% |
11694
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1439
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16307
264.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19806
321.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6215
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
99209
115.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
103564
121.4 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
100% |
12077
957.9 IPS |
|
|
Object Detection (Q)
|
89% |
14528
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3333
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
33593
399.2 IPS |
|
|
Face Detection (Q)
|
100% |
46278
549.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5958
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
73146
563.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
91689
716.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18396
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
176469
226.9 IPS |
|
|
Style Transfer (Q)
|
96% |
171122
220.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3795
140.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32702
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35264
1.30 KIPS |
|
|
Text Classification (SP)
|
99% |
5337
7.12 KIPS |
|
|
Text Classification (HP)
|
100% |
2427
3.24 KIPS |
|
|
Text Classification (Q)
|
93% |
2276
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3388
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7120
122.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8331
144.0 IPS |
