iPad Air (4th generation)
Geekbench AI Score
2476
Single Precision Score
3800
Half Precision Score
3311
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 05:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.1 |
| 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% |
1158
215.3 IPS |
|
|
Image Classification (HP)
|
100% |
1476
274.4 IPS |
|
|
Image Classification (Q)
|
96% |
1196
223.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
985
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1022
16.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1498
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5114
5.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
10989
12.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9896
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1219
96.7 IPS |
|
|
Object Detection (HP)
|
97% |
1742
138.7 IPS |
|
|
Object Detection (Q)
|
94% |
1361
108.5 IPS |
|
|
Face Detection (SP)
|
100% |
1942
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
3555
42.2 IPS |
|
|
Face Detection (Q)
|
100% |
2327
27.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4543
35.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
7105
54.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
5503
43.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13575
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22042
28.3 IPS |
|
|
Style Transfer (Q)
|
96% |
18515
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2868
105.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4239
156.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3071
113.4 IPS |
|
|
Text Classification (SP)
|
100% |
2074
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3371
4.50 KIPS |
|
|
Text Classification (Q)
|
93% |
3356
4.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1712
29.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2740
47.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2693
46.5 IPS |
