iPad (11th generation)
Geekbench AI Score
3432
Single Precision Score
6258
Half Precision Score
5111
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 03 2026 01:48 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1330
247.3 IPS |
|
|
Image Classification (HP)
|
100% |
2622
487.6 IPS |
|
|
Image Classification (Q)
|
96% |
1799
336.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2675
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6437
7.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
14978
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12842
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1470
116.6 IPS |
|
|
Object Detection (HP)
|
97% |
2947
234.6 IPS |
|
|
Object Detection (Q)
|
94% |
2119
168.9 IPS |
|
|
Face Detection (SP)
|
100% |
3230
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6198
73.6 IPS |
|
|
Face Detection (Q)
|
100% |
3539
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5971
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11827
91.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8273
64.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18396
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29159
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24294
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3859
142.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5150
190.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3936
145.4 IPS |
|
|
Text Classification (SP)
|
100% |
2770
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4865
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4742
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3404
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7042
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7005
121.1 IPS |
