iPad (11th generation)
Geekbench AI Score
2859
Single Precision Score
3250
Half Precision Score
3103
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 08 2026 07:07 AM |
| Views | 13 |
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% |
545
101.3 IPS |
|
|
Image Classification (HP)
|
100% |
520
96.8 IPS |
|
|
Image Classification (Q)
|
94% |
803
150.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2424
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2360
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9395
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10326
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9766
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1089
86.4 IPS |
|
|
Object Detection (HP)
|
100% |
923
73.2 IPS |
|
|
Object Detection (Q)
|
91% |
878
70.2 IPS |
|
|
Face Detection (SP)
|
100% |
3696
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
5578
66.3 IPS |
|
|
Face Detection (Q)
|
100% |
3415
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6491
50.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8034
61.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6537
51.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17542
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19563
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19150
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2710
100.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2782
102.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2580
95.2 IPS |
|
|
Text Classification (SP)
|
100% |
2782
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4780
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4809
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
871
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
939
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
962
16.6 IPS |
