iPad Air 11-inch (7th generation)
Geekbench AI Score
6739
Single Precision Score
7597
Half Precision Score
7934
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | February 16 2026 10:08 PM |
| Views | 14 |
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% |
3893
724.0 IPS |
|
|
Image Classification (HP)
|
100% |
3515
653.6 IPS |
|
|
Image Classification (Q)
|
96% |
3441
642.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6071
98.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5994
97.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6281
101.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12264
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12829
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18807
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
3269
259.3 IPS |
|
|
Object Detection (HP)
|
100% |
3691
292.8 IPS |
|
|
Object Detection (Q)
|
92% |
3718
296.8 IPS |
|
|
Face Detection (SP)
|
100% |
9590
113.9 IPS |
|
|
Face Detection (HP)
|
100% |
10703
127.2 IPS |
|
|
Face Detection (Q)
|
100% |
11044
131.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15266
117.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15884
122.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
17089
133.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31619
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39234
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
41639
53.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8061
297.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8086
298.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8509
314.2 IPS |
|
|
Text Classification (SP)
|
100% |
2648
3.53 KIPS |
|
|
Text Classification (HP)
|
99% |
5102
6.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5151
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2065
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2333
40.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1901
32.9 IPS |
