iPad (11th generation)
Geekbench AI Score
3301
Single Precision Score
3250
Half Precision Score
3288
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 01:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
693
128.9 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.3 IPS |
|
|
Image Classification (Q)
|
94% |
923
172.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2374
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2409
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2366
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9369
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10330
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9661
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1027
81.4 IPS |
|
|
Object Detection (HP)
|
100% |
907
72.0 IPS |
|
|
Object Detection (Q)
|
91% |
881
70.4 IPS |
|
|
Face Detection (SP)
|
100% |
5143
61.1 IPS |
|
|
Face Detection (HP)
|
100% |
3870
46.0 IPS |
|
|
Face Detection (Q)
|
100% |
3511
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7218
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6656
51.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6934
54.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17529
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19557
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19141
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2908
107.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2878
106.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2532
93.5 IPS |
|
|
Text Classification (SP)
|
99% |
5211
6.96 KIPS |
|
|
Text Classification (HP)
|
99% |
8227
11.0 KIPS |
|
|
Text Classification (Q)
|
93% |
8283
11.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
944
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
815
14.1 IPS |
