iPad Air 11-inch (7th generation)
Geekbench AI Score
8079
Single Precision Score
9402
Half Precision Score
8607
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | COTJAR |
| Upload Date | January 09 2026 11:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Air 11-inch (7th generation) |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4078
758.4 IPS |
|
|
Image Classification (HP)
|
100% |
4330
805.2 IPS |
|
|
Image Classification (Q)
|
96% |
3924
732.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6164
99.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6604
107.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6257
101.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
21694
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24071
28.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23459
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4235
335.9 IPS |
|
|
Object Detection (HP)
|
100% |
4560
361.7 IPS |
|
|
Object Detection (Q)
|
92% |
4254
339.6 IPS |
|
|
Face Detection (SP)
|
100% |
11474
136.3 IPS |
|
|
Face Detection (HP)
|
100% |
14487
172.1 IPS |
|
|
Face Detection (Q)
|
100% |
11656
138.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17770
136.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19349
149.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
17668
138.0 IPS |
|
|
Style Transfer (SP)
|
100% |
47789
61.4 IPS |
|
|
Style Transfer (HP)
|
100% |
54708
70.3 IPS |
|
|
Style Transfer (Q)
|
96% |
53058
68.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10069
371.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10271
379.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8872
327.6 IPS |
|
|
Text Classification (SP)
|
100% |
3173
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5565
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5545
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1649
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1962
33.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1695
29.3 IPS |
