iPad Air (5th generation)
Geekbench AI Score
5163
Single Precision Score
5844
Half Precision Score
5492
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | May 27 2025 04:43 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2145
398.9 IPS |
|
|
Image Classification (HP)
|
100% |
1872
348.1 IPS |
|
|
Image Classification (Q)
|
96% |
1917
358.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4028
65.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4237
68.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4062
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16881
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18842
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18125
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2656
210.7 IPS |
|
|
Object Detection (HP)
|
100% |
2703
214.4 IPS |
|
|
Object Detection (Q)
|
92% |
2473
197.4 IPS |
|
|
Face Detection (SP)
|
100% |
6794
80.7 IPS |
|
|
Face Detection (HP)
|
100% |
8394
99.7 IPS |
|
|
Face Detection (Q)
|
100% |
6963
82.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12242
94.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13952
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
12882
100.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28697
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34587
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
33736
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6394
236.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7290
269.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6124
226.1 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3810
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3792
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
996
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1023
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1018
17.6 IPS |
