iPad Air (4th generation)
Geekbench AI Score
2743
Single Precision Score
4531
Half Precision Score
3784
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 12 2025 12:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1201
223.3 IPS |
|
|
Image Classification (HP)
|
100% |
1896
352.6 IPS |
|
|
Image Classification (Q)
|
96% |
1358
253.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1062
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1753
28.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2150
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5832
6.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
12072
14.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
10552
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1313
104.2 IPS |
|
|
Object Detection (HP)
|
97% |
2116
168.5 IPS |
|
|
Object Detection (Q)
|
94% |
1548
123.4 IPS |
|
|
Face Detection (SP)
|
100% |
2405
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
4442
52.8 IPS |
|
|
Face Detection (Q)
|
100% |
2664
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4941
38.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9662
74.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6653
52.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14621
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23221
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
19427
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3264
120.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3951
145.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2999
110.8 IPS |
|
|
Text Classification (SP)
|
100% |
2022
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
3429
4.58 KIPS |
|
|
Text Classification (Q)
|
93% |
3413
4.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2154
37.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3182
55.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3582
61.9 IPS |
