iPad Air 13-inch (M4) iPad16,11
Geekbench AI Score
5000
Single Precision Score
36381
Half Precision Score
52058
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 20 2026 05:00 PM |
| Views | 17 |
| Notes | iPad Air 13-inch (M4)/M4/12GB RAM/1TB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
17068
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
26777
5.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22302
361.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30600
496.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10056
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122485
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231910
271.8 IPS |
|
|
Object Detection (SP)
|
100% |
2429
192.6 IPS |
|
|
Object Detection (HP)
|
100% |
17561
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25773
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4226
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
42904
509.8 IPS |
|
|
Face Detection (Q)
|
100% |
62929
747.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8494
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
98862
761.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
165714
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24482
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
232712
299.2 IPS |
|
|
Style Transfer (Q)
|
96% |
317314
409.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6094
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50568
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81861
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3649
4.87 KIPS |
|
|
Text Classification (HP)
|
99% |
6002
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
6007
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4583
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16563
285.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18345
317.0 IPS |
