iPad (11th generation)
Geekbench AI Score
3682
Single Precision Score
6594
Half Precision Score
5380
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2026 09:01 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1383
257.1 IPS |
|
|
Image Classification (HP)
|
100% |
2623
487.8 IPS |
|
|
Image Classification (Q)
|
96% |
1807
337.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1411
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2704
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6296
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
15125
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12803
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
97% |
2955
235.3 IPS |
|
|
Object Detection (Q)
|
94% |
2119
168.9 IPS |
|
|
Face Detection (SP)
|
100% |
3323
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
6278
74.6 IPS |
|
|
Face Detection (Q)
|
100% |
3573
42.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5978
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11767
91.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8204
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18437
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29966
38.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24842
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3750
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5076
187.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3905
144.2 IPS |
|
|
Text Classification (SP)
|
99% |
5249
7.01 KIPS |
|
|
Text Classification (HP)
|
99% |
8312
11.1 KIPS |
|
|
Text Classification (Q)
|
92% |
8276
11.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
3438
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6606
114.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6516
112.6 IPS |
