iPad Air (3rd generation)
Geekbench AI Score
652
Single Precision Score
1096
Half Precision Score
993
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 08:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad Air (3rd generation) |
| Model ID | iPad11,4 |
| Motherboard | J218AP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.84 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
336
62.4 IPS |
|
|
Image Classification (HP)
|
100% |
611
113.6 IPS |
|
|
Image Classification (Q)
|
96% |
501
93.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
372
6.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
666
10.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
723
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1143
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1153
1.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
1058
1.24 IPS |
|
|
Object Detection (SP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (HP)
|
99% |
699
55.5 IPS |
|
|
Object Detection (Q)
|
92% |
588
46.9 IPS |
|
|
Face Detection (SP)
|
100% |
920
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
1848
22.0 IPS |
|
|
Face Detection (Q)
|
100% |
1244
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
970
7.47 IPS |
|
|
Depth Estimation (HP)
|
98% |
1658
12.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
1499
11.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2549
3.28 IPS |
|
|
Style Transfer (HP)
|
100% |
4294
5.52 IPS |
|
|
Style Transfer (Q)
|
96% |
4110
5.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
675
24.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
953
35.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
821
30.3 IPS |
|
|
Text Classification (SP)
|
100% |
293
391.3 IPS |
|
|
Text Classification (HP)
|
100% |
568
758.3 IPS |
|
|
Text Classification (Q)
|
93% |
566
759.7 IPS |
|
|
Machine Translation (SP)
|
100% |
632
10.9 IPS |
|
|
Machine Translation (HP)
|
99% |
1079
18.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1165
20.1 IPS |
