iPad (11th generation)
Geekbench AI Score
3285
Single Precision Score
3566
Half Precision Score
3359
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 14 2026 09:56 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% |
729
135.6 IPS |
|
|
Image Classification (HP)
|
100% |
659
122.6 IPS |
|
|
Image Classification (Q)
|
94% |
953
178.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2360
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2382
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2202
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9515
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10354
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10242
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1059
84.0 IPS |
|
|
Object Detection (HP)
|
100% |
1135
90.0 IPS |
|
|
Object Detection (Q)
|
91% |
1027
82.1 IPS |
|
|
Face Detection (SP)
|
100% |
4986
59.2 IPS |
|
|
Face Detection (HP)
|
100% |
5384
64.0 IPS |
|
|
Face Detection (Q)
|
100% |
3633
43.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6703
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6594
50.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6682
52.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17768
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19447
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19134
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2864
105.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3041
112.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2640
97.5 IPS |
|
|
Text Classification (SP)
|
100% |
5147
6.87 KIPS |
|
|
Text Classification (HP)
|
99% |
8238
11.0 KIPS |
|
|
Text Classification (Q)
|
93% |
8211
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
965
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
823
14.2 IPS |
