iPad Air (4th generation)
Geekbench AI Score
2751
Single Precision Score
4560
Half Precision Score
3810
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 08:15 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 | iPad13,1 |
| 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% |
1207
224.4 IPS |
|
|
Image Classification (HP)
|
100% |
1904
354.2 IPS |
|
|
Image Classification (Q)
|
96% |
1363
254.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1082
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1756
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2177
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5806
6.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
11818
13.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
10414
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1317
104.5 IPS |
|
|
Object Detection (HP)
|
97% |
2145
170.8 IPS |
|
|
Object Detection (Q)
|
94% |
1563
124.6 IPS |
|
|
Face Detection (SP)
|
100% |
2439
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
4567
54.3 IPS |
|
|
Face Detection (Q)
|
100% |
2684
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5030
38.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9684
74.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6674
52.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14546
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23271
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
19444
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3167
116.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4016
148.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3044
112.4 IPS |
|
|
Text Classification (SP)
|
100% |
2062
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
3552
4.74 KIPS |
|
|
Text Classification (Q)
|
93% |
3546
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2140
36.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3130
54.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3555
61.4 IPS |
