iPad Air (5th generation)
Geekbench AI Score
3238
Single Precision Score
5329
Half Precision Score
4390
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 31 2024 06:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad Air (5th generation) |
| Model ID | iPad13,16 |
| Motherboard | J407AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1400
260.4 IPS |
|
|
Image Classification (HP)
|
100% |
2180
405.4 IPS |
|
|
Image Classification (Q)
|
96% |
1569
292.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2198
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2565
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6526
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
13915
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12044
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.6 IPS |
|
|
Object Detection (HP)
|
97% |
2427
193.2 IPS |
|
|
Object Detection (Q)
|
94% |
1790
142.7 IPS |
|
|
Face Detection (SP)
|
100% |
3034
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5574
66.2 IPS |
|
|
Face Detection (Q)
|
100% |
3218
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5829
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11095
85.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7651
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17194
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26342
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21998
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3744
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4495
166.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3416
126.1 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3926
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3903
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2517
43.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3973
68.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4249
73.4 IPS |
