iPad Air (3rd generation)
Geekbench AI Score
531
Single Precision Score
2115
Half Precision Score
386
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 03:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad Air (3rd generation) |
| Model ID | iPad11,3 |
| Motherboard | J217AP |
| 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% |
270
50.3 IPS |
|
|
Image Classification (HP)
|
100% |
2035
378.4 IPS |
|
|
Image Classification (Q)
|
99% |
170
31.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
256
4.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
388
6.30 IPS |
|
|
Image Segmentation (Q)
|
99% |
204
3.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
1170
1.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
24690
28.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
957
1.12 IPS |
|
|
Object Detection (SP)
|
100% |
293
23.3 IPS |
|
|
Object Detection (HP)
|
100% |
1408
111.7 IPS |
|
|
Object Detection (Q)
|
94% |
203
16.2 IPS |
|
|
Face Detection (SP)
|
100% |
667
7.93 IPS |
|
|
Face Detection (HP)
|
100% |
5225
62.1 IPS |
|
|
Face Detection (Q)
|
100% |
276
3.28 IPS |
|
|
Depth Estimation (SP)
|
100% |
768
5.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
18471
142.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
491
3.84 IPS |
|
|
Style Transfer (SP)
|
100% |
2024
2.60 IPS |
|
|
Style Transfer (HP)
|
100% |
2016
2.59 IPS |
|
|
Style Transfer (Q)
|
96% |
1692
2.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
601
22.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3504
129.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
498
18.4 IPS |
|
|
Text Classification (SP)
|
100% |
278
371.2 IPS |
|
|
Text Classification (HP)
|
100% |
285
380.6 IPS |
|
|
Text Classification (Q)
|
93% |
282
378.8 IPS |
|
|
Machine Translation (SP)
|
100% |
435
7.49 IPS |
|
|
Machine Translation (HP)
|
100% |
337
5.80 IPS |
|
|
Machine Translation (Q)
|
98% |
342
5.91 IPS |
