iPad Air 11-inch (7th generation)
Geekbench AI Score
8095
Single Precision Score
9304
Half Precision Score
8587
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | DradMind |
| Upload Date | January 22 2026 10:10 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
4086
759.9 IPS |
|
|
Image Classification (HP)
|
100% |
4335
806.1 IPS |
|
|
Image Classification (Q)
|
96% |
3932
734.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6141
99.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6507
105.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6272
101.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
21680
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24035
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23461
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4220
334.8 IPS |
|
|
Object Detection (HP)
|
100% |
4571
362.6 IPS |
|
|
Object Detection (Q)
|
92% |
4232
337.8 IPS |
|
|
Face Detection (SP)
|
100% |
11438
135.9 IPS |
|
|
Face Detection (HP)
|
100% |
14462
171.8 IPS |
|
|
Face Detection (Q)
|
100% |
11653
138.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17747
136.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
19317
148.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
17691
138.2 IPS |
|
|
Style Transfer (SP)
|
100% |
47422
61.0 IPS |
|
|
Style Transfer (HP)
|
100% |
54686
70.3 IPS |
|
|
Style Transfer (Q)
|
96% |
53068
68.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10061
371.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10272
379.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8822
325.8 IPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5564
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5448
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1705
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1797
31.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1695
29.3 IPS |
