iPad (11th generation)
Geekbench AI Score
2896
Single Precision Score
3257
Half Precision Score
2977
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 05 2026 01:21 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
533
99.1 IPS |
|
|
Image Classification (HP)
|
100% |
974
181.2 IPS |
|
|
Image Classification (Q)
|
94% |
531
99.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2444
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2369
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9377
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10310
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9795
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1019
80.8 IPS |
|
|
Object Detection (HP)
|
100% |
1023
81.1 IPS |
|
|
Object Detection (Q)
|
90% |
837
66.9 IPS |
|
|
Face Detection (SP)
|
100% |
3994
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
3859
45.8 IPS |
|
|
Face Detection (Q)
|
100% |
4498
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7603
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6476
49.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6746
52.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17514
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19461
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19078
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2821
104.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2786
102.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2582
95.3 IPS |
|
|
Text Classification (SP)
|
100% |
2776
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4746
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4688
6.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
801
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
757
13.1 IPS |
