iPad Air 11-inch (7th generation)
Geekbench AI Score
4018
Single Precision Score
7155
Half Precision Score
5774
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 13 2026 03:42 PM |
| Views | 2 |
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% |
1532
284.8 IPS |
|
|
Image Classification (HP)
|
100% |
2999
557.7 IPS |
|
|
Image Classification (Q)
|
96% |
2076
387.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1816
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2921
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3227
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8423
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
17551
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15107
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1717
136.2 IPS |
|
|
Object Detection (HP)
|
97% |
3254
259.0 IPS |
|
|
Object Detection (Q)
|
94% |
2353
187.6 IPS |
|
|
Face Detection (SP)
|
100% |
3434
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
6911
82.1 IPS |
|
|
Face Detection (Q)
|
100% |
4002
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6981
53.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12801
99.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9059
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21930
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33876
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28160
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4993
184.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6134
226.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4456
164.5 IPS |
|
|
Text Classification (SP)
|
100% |
3172
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5524
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5556
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3277
56.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6924
119.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6852
118.4 IPS |
