iPad (11th generation)
Geekbench AI Score
3449
Single Precision Score
6293
Half Precision Score
5118
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 27 2026 11:51 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1358
252.6 IPS |
|
|
Image Classification (HP)
|
100% |
2649
492.6 IPS |
|
|
Image Classification (Q)
|
96% |
1827
341.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2191
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2675
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6460
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
15214
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12915
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1470
116.6 IPS |
|
|
Object Detection (HP)
|
97% |
2950
234.9 IPS |
|
|
Object Detection (Q)
|
94% |
2113
168.4 IPS |
|
|
Face Detection (SP)
|
100% |
3266
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6214
73.8 IPS |
|
|
Face Detection (Q)
|
100% |
3544
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5969
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11739
90.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8154
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18644
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29183
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24237
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3852
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5164
190.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3887
143.5 IPS |
|
|
Text Classification (SP)
|
100% |
2751
3.67 KIPS |
|
|
Text Classification (HP)
|
99% |
4795
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4786
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3402
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7105
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7105
122.8 IPS |
