iPad Air (4th generation)
Geekbench AI Score
2574
Single Precision Score
3874
Half Precision Score
3232
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 12:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad Air (4th generation) |
| Model ID | iPad13,2 |
| Motherboard | J308AP |
| 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% |
1184
220.1 IPS |
|
|
Image Classification (HP)
|
100% |
1688
314.0 IPS |
|
|
Image Classification (Q)
|
96% |
1347
251.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1046
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1182
19.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1503
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4413
5.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
7033
8.21 IPS |
|
|
Pose Estimation (Q)
|
95% |
9086
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1312
104.1 IPS |
|
|
Object Detection (HP)
|
97% |
2122
169.0 IPS |
|
|
Object Detection (Q)
|
94% |
1550
123.6 IPS |
|
|
Face Detection (SP)
|
100% |
2387
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
4416
52.5 IPS |
|
|
Face Detection (Q)
|
100% |
1853
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4680
36.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9244
71.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
5675
44.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13147
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15105
19.4 IPS |
|
|
Style Transfer (Q)
|
96% |
16270
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2838
104.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3715
137.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3032
112.0 IPS |
|
|
Text Classification (SP)
|
100% |
2044
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
3561
4.75 KIPS |
|
|
Text Classification (Q)
|
93% |
2421
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2094
36.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3139
54.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3474
60.0 IPS |
