iPad Air (3rd generation)
Geekbench AI Score
642
Single Precision Score
1104
Half Precision Score
995
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | September 23 2024 05:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
379
70.5 IPS |
|
|
Image Classification (HP)
|
100% |
678
126.1 IPS |
|
|
Image Classification (Q)
|
96% |
552
103.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
396
6.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
744
12.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
798
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1158
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1225
1.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
1160
1.36 IPS |
|
|
Object Detection (SP)
|
100% |
366
29.0 IPS |
|
|
Object Detection (HP)
|
99% |
725
57.5 IPS |
|
|
Object Detection (Q)
|
92% |
624
49.8 IPS |
|
|
Face Detection (SP)
|
100% |
912
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
1857
22.1 IPS |
|
|
Face Detection (Q)
|
100% |
1244
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
948
7.31 IPS |
|
|
Depth Estimation (HP)
|
98% |
1715
13.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
1538
12.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2414
3.10 IPS |
|
|
Style Transfer (HP)
|
100% |
4028
5.18 IPS |
|
|
Style Transfer (Q)
|
96% |
3717
4.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
574
21.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
817
30.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
742
27.4 IPS |
|
|
Text Classification (SP)
|
100% |
262
349.1 IPS |
|
|
Text Classification (HP)
|
100% |
561
748.8 IPS |
|
|
Text Classification (Q)
|
93% |
524
703.3 IPS |
|
|
Machine Translation (SP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1025
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1080
18.7 IPS |
