iPad Air (4th generation)
Geekbench AI Score
2466
Single Precision Score
2869
Half Precision Score
2512
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ixhayabusa |
| Upload Date | October 16 2024 09:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPad Air (4th generation) |
| Model ID | iPad13,1 |
| Motherboard | J307AP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1060
197.1 IPS |
|
|
Image Classification (HP)
|
100% |
1078
200.5 IPS |
|
|
Image Classification (Q)
|
97% |
890
166.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1533
24.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1589
25.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6130
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
8777
10.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
7672
8.99 IPS |
|
|
Object Detection (SP)
|
100% |
1218
96.6 IPS |
|
|
Object Detection (HP)
|
100% |
1267
100.5 IPS |
|
|
Object Detection (Q)
|
91% |
1039
83.0 IPS |
|
|
Face Detection (SP)
|
100% |
3332
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
3860
45.9 IPS |
|
|
Face Detection (Q)
|
100% |
2722
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4913
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5573
42.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
4553
35.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13146
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13649
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12862
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2862
105.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3018
111.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2470
91.2 IPS |
|
|
Text Classification (SP)
|
100% |
2042
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
3553
4.74 KIPS |
|
|
Text Classification (Q)
|
93% |
3546
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
640
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
655
11.3 IPS |
|
|
Machine Translation (Q)
|
98% |
638
11.0 IPS |
