iPad Air (5th generation)
Geekbench AI Score
4056
Single Precision Score
4787
Half Precision Score
4350
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | May 17 2025 02:26 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1850
344.1 IPS |
|
|
Image Classification (HP)
|
100% |
2005
372.9 IPS |
|
|
Image Classification (Q)
|
96% |
1887
352.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3181
51.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3437
55.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2929
47.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11028
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12271
14.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
10660
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1872
148.5 IPS |
|
|
Object Detection (HP)
|
100% |
2072
164.3 IPS |
|
|
Object Detection (Q)
|
92% |
1890
150.8 IPS |
|
|
Face Detection (SP)
|
100% |
5084
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
5924
70.4 IPS |
|
|
Face Detection (Q)
|
100% |
4815
57.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8260
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9999
77.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9189
71.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25426
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32099
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30621
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6378
235.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7133
263.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6033
222.8 IPS |
|
|
Text Classification (SP)
|
100% |
1540
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2677
3.57 KIPS |
|
|
Text Classification (Q)
|
93% |
2668
3.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
946
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
994
17.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1000
17.3 IPS |
