iPad Air (3rd generation)
Geekbench AI Score
593
Single Precision Score
967
Half Precision Score
838
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | August 23 2024 11:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
307
57.1 IPS |
|
|
Image Classification (HP)
|
100% |
498
92.6 IPS |
|
|
Image Classification (Q)
|
99% |
494
92.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
328
5.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
445
7.21 IPS |
|
|
Image Segmentation (Q)
|
100% |
447
7.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
1020
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1016
1.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
1080
1.27 IPS |
|
|
Object Detection (SP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (HP)
|
99% |
599
47.5 IPS |
|
|
Object Detection (Q)
|
92% |
538
43.0 IPS |
|
|
Face Detection (SP)
|
100% |
808
9.61 IPS |
|
|
Face Detection (HP)
|
100% |
1531
18.2 IPS |
|
|
Face Detection (Q)
|
100% |
1079
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
786
6.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
1644
12.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
697
5.39 IPS |
|
|
Style Transfer (SP)
|
100% |
2350
3.02 IPS |
|
|
Style Transfer (HP)
|
100% |
4195
5.39 IPS |
|
|
Style Transfer (Q)
|
100% |
4281
5.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
666
24.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
941
34.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
773
28.7 IPS |
|
|
Text Classification (SP)
|
100% |
288
384.3 IPS |
|
|
Text Classification (HP)
|
100% |
566
756.0 IPS |
|
|
Text Classification (Q)
|
93% |
564
757.5 IPS |
|
|
Machine Translation (SP)
|
100% |
592
10.2 IPS |
|
|
Machine Translation (HP)
|
98% |
946
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
952
16.5 IPS |
