iPad (11th generation)
Geekbench AI Score
3111
Single Precision Score
3414
Half Precision Score
3348
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 21 2026 08:15 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
554
103.1 IPS |
|
|
Image Classification (HP)
|
100% |
649
120.6 IPS |
|
|
Image Classification (Q)
|
94% |
612
114.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2221
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9496
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10394
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10066
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1188
94.3 IPS |
|
|
Object Detection (HP)
|
100% |
1145
90.8 IPS |
|
|
Object Detection (Q)
|
91% |
1013
81.0 IPS |
|
|
Face Detection (SP)
|
100% |
3817
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
3840
45.6 IPS |
|
|
Face Detection (Q)
|
100% |
4843
57.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6658
51.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6560
50.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6688
52.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17810
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
19446
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19003
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2800
103.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3063
113.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2712
100.2 IPS |
|
|
Text Classification (SP)
|
99% |
5145
6.87 KIPS |
|
|
Text Classification (HP)
|
100% |
8331
11.1 KIPS |
|
|
Text Classification (Q)
|
93% |
8275
11.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
909
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
945
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
925
16.0 IPS |
