iPad Air 13-inch (M4) iPad16,11
Geekbench AI Score
4994
Single Precision Score
8084
Half Precision Score
6448
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 20 2026 04:56 PM |
| Views | 9 |
| Notes | iPad Air 13-inch (M4)/M4/12GB RAM/1TB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| Model | iPad16,11 |
| Model ID | iPad16,11 |
| Motherboard | J738AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 5 Cores |
| Memory Information | |
|---|---|
| Size | 11.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2091
388.8 IPS |
|
|
Image Classification (HP)
|
100% |
3501
651.1 IPS |
|
|
Image Classification (Q)
|
96% |
2351
438.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3155
51.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3520
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10123
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19471
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16651
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2429
192.6 IPS |
|
|
Object Detection (HP)
|
97% |
3811
303.4 IPS |
|
|
Object Detection (Q)
|
94% |
2701
215.3 IPS |
|
|
Face Detection (SP)
|
100% |
4253
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
7661
91.0 IPS |
|
|
Face Detection (Q)
|
100% |
4404
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8310
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14055
108.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9877
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24498
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38709
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31721
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6117
225.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7169
264.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5006
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
3654
4.88 KIPS |
|
|
Text Classification (HP)
|
99% |
6029
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
6020
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
4570
78.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8081
139.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8029
138.8 IPS |
