iPad Air 11-inch (7th generation)
Geekbench AI Score
3463
Single Precision Score
6326
Half Precision Score
5300
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | February 16 2026 10:05 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
923
171.6 IPS |
|
|
Image Classification (HP)
|
100% |
1728
321.3 IPS |
|
|
Image Classification (Q)
|
96% |
1918
358.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1715
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2731
44.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3050
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7906
9.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
15967
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14111
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1630
129.3 IPS |
|
|
Object Detection (HP)
|
97% |
3112
247.7 IPS |
|
|
Object Detection (Q)
|
94% |
2226
177.4 IPS |
|
|
Face Detection (SP)
|
100% |
3121
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6241
74.2 IPS |
|
|
Face Detection (Q)
|
100% |
3486
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5790
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11736
90.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7840
61.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17552
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30830
39.6 IPS |
|
|
Style Transfer (Q)
|
96% |
25364
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4636
171.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5869
216.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4182
154.4 IPS |
|
|
Text Classification (SP)
|
100% |
3148
4.20 KIPS |
|
|
Text Classification (HP)
|
99% |
5525
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5538
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2631
45.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5980
103.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5938
102.6 IPS |
