iPad Air 11-inch (7th generation)
Geekbench AI Score
4004
Single Precision Score
7141
Half Precision Score
5764
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | mavica |
| Upload Date | February 23 2026 11:27 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1502
279.4 IPS |
|
|
Image Classification (HP)
|
100% |
3008
559.3 IPS |
|
|
Image Classification (Q)
|
96% |
2104
392.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1815
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2951
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3225
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8386
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
17548
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15097
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1721
136.5 IPS |
|
|
Object Detection (HP)
|
97% |
3251
258.8 IPS |
|
|
Object Detection (Q)
|
94% |
2354
187.6 IPS |
|
|
Face Detection (SP)
|
100% |
3402
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
6864
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
3994
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6964
53.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12705
98.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9058
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21988
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33855
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28083
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4976
183.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6166
227.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4466
164.9 IPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5585
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5476
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3241
55.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6703
115.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6766
116.9 IPS |
