iPad Air 11-inch (7th generation)
Geekbench AI Score
8123
Single Precision Score
9305
Half Precision Score
8631
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | jobieh |
| Upload Date | January 16 2026 07:25 PM |
| Views | 8 |
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% |
4124
766.9 IPS |
|
|
Image Classification (HP)
|
100% |
4361
811.1 IPS |
|
|
Image Classification (Q)
|
96% |
4006
748.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5958
96.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6475
105.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6233
101.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
21664
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24045
28.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23465
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4216
334.4 IPS |
|
|
Object Detection (HP)
|
100% |
4534
359.6 IPS |
|
|
Object Detection (Q)
|
92% |
4264
340.3 IPS |
|
|
Face Detection (SP)
|
100% |
11477
136.4 IPS |
|
|
Face Detection (HP)
|
100% |
14480
172.1 IPS |
|
|
Face Detection (Q)
|
100% |
11649
138.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17646
136.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19289
148.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
17767
138.8 IPS |
|
|
Style Transfer (SP)
|
100% |
47273
60.8 IPS |
|
|
Style Transfer (HP)
|
100% |
54660
70.3 IPS |
|
|
Style Transfer (Q)
|
96% |
53031
68.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10222
377.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10341
381.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8854
326.9 IPS |
|
|
Text Classification (SP)
|
100% |
3176
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5565
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5561
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1795
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1800
31.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1700
29.4 IPS |
