iPad (11th generation)
Geekbench AI Score
3559
Single Precision Score
22498
Half Precision Score
25661
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ChrisSack |
| Upload Date | February 18 2026 11:34 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1364
253.6 IPS |
|
|
Image Classification (HP)
|
100% |
10182
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
12827
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1421
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13729
222.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
16908
274.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5262
6.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
96766
112.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104168
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (HP)
|
100% |
12852
1.02 KIPS |
|
|
Object Detection (Q)
|
89% |
15150
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
3191
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
32875
390.6 IPS |
|
|
Face Detection (Q)
|
100% |
46418
551.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5992
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
69351
534.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
87357
682.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18008
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
172123
221.3 IPS |
|
|
Style Transfer (Q)
|
96% |
172372
222.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3778
139.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32388
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35466
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
5255
7.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2121
2.83 KIPS |
|
|
Text Classification (Q)
|
93% |
1786
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3413
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7090
122.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8172
141.2 IPS |
