iPad (11th generation)
Geekbench AI Score
3413
Single Precision Score
6251
Half Precision Score
5107
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 07 2026 09:14 AM |
| Views | 5 |
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% |
1354
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
2648
492.5 IPS |
|
|
Image Classification (Q)
|
96% |
1830
341.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2672
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6279
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
14857
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12747
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1464
116.1 IPS |
|
|
Object Detection (HP)
|
97% |
2950
234.8 IPS |
|
|
Object Detection (Q)
|
94% |
2117
168.7 IPS |
|
|
Face Detection (SP)
|
100% |
3149
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6196
73.6 IPS |
|
|
Face Detection (Q)
|
100% |
3531
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5849
45.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11837
91.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8104
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18282
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29213
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24234
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3855
142.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5127
189.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3912
144.5 IPS |
|
|
Text Classification (SP)
|
100% |
2776
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4799
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4792
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3397
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7049
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7038
121.6 IPS |
