iPad Air (5th generation)
Geekbench AI Score
5131
Single Precision Score
5882
Half Precision Score
5522
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 01 2025 03:49 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% |
2088
388.4 IPS |
|
|
Image Classification (HP)
|
100% |
2022
376.0 IPS |
|
|
Image Classification (Q)
|
96% |
1965
366.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3991
64.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4241
68.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4093
66.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16792
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18847
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18088
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2666
211.5 IPS |
|
|
Object Detection (HP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (Q)
|
92% |
2443
195.0 IPS |
|
|
Face Detection (SP)
|
100% |
6785
80.6 IPS |
|
|
Face Detection (HP)
|
100% |
8404
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
7104
84.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12251
94.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13913
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
12813
100.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28726
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34102
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
34219
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6365
235.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7318
270.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6112
225.7 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3865
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3849
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
976
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1016
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1014
17.5 IPS |
