iPad Air (5th generation)
Geekbench AI Score
5158
Single Precision Score
5982
Half Precision Score
5637
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 02:41 AM |
| Views | 1 |
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% |
2099
390.3 IPS |
|
|
Image Classification (HP)
|
100% |
2121
394.4 IPS |
|
|
Image Classification (Q)
|
96% |
2354
439.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4022
65.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4263
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4076
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16768
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18844
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18172
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2710
214.9 IPS |
|
|
Object Detection (HP)
|
100% |
2729
216.5 IPS |
|
|
Object Detection (Q)
|
92% |
2442
194.9 IPS |
|
|
Face Detection (SP)
|
100% |
6797
80.8 IPS |
|
|
Face Detection (HP)
|
100% |
8489
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
7091
84.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12309
94.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14009
107.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
12755
99.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29155
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35374
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
34061
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6391
236.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7425
274.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6204
229.1 IPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3947
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3888
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
989
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1024
17.7 IPS |
