iPad Air (4th generation)
Geekbench AI Score
2748
Single Precision Score
4545
Half Precision Score
3802
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 20 2024 12:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1240
230.6 IPS |
|
|
Image Classification (HP)
|
100% |
1907
354.6 IPS |
|
|
Image Classification (Q)
|
96% |
1368
255.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1133
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1770
28.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2190
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5451
6.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
11241
13.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
10015
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1320
104.7 IPS |
|
|
Object Detection (HP)
|
97% |
2174
173.0 IPS |
|
|
Object Detection (Q)
|
94% |
1572
125.3 IPS |
|
|
Face Detection (SP)
|
100% |
2509
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
4578
54.4 IPS |
|
|
Face Detection (Q)
|
100% |
2688
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4962
38.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9662
74.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6648
52.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14092
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23150
29.8 IPS |
|
|
Style Transfer (Q)
|
96% |
19459
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3027
111.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4057
149.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3050
112.6 IPS |
|
|
Text Classification (SP)
|
100% |
2098
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3507
4.68 KIPS |
|
|
Text Classification (Q)
|
93% |
3521
4.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2187
37.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3134
54.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3591
62.1 IPS |
