iPad Air (4th generation)
Geekbench AI Score
2485
Single Precision Score
2872
Half Precision Score
2533
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 08:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1073
199.5 IPS |
|
|
Image Classification (HP)
|
100% |
1076
200.0 IPS |
|
|
Image Classification (Q)
|
97% |
921
171.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1548
25.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1599
25.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6154
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
8925
10.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
7711
9.04 IPS |
|
|
Object Detection (SP)
|
100% |
1253
99.4 IPS |
|
|
Object Detection (HP)
|
100% |
1275
101.2 IPS |
|
|
Object Detection (Q)
|
91% |
1054
84.2 IPS |
|
|
Face Detection (SP)
|
100% |
3338
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
3839
45.6 IPS |
|
|
Face Detection (Q)
|
100% |
2741
32.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4890
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5618
43.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
4759
37.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13226
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13605
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12852
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2876
106.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2991
110.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2469
91.2 IPS |
|
|
Text Classification (SP)
|
100% |
2048
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
3538
4.72 KIPS |
|
|
Text Classification (Q)
|
93% |
3548
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
651
11.2 IPS |
|
|
Machine Translation (Q)
|
98% |
620
10.7 IPS |
