iPad Air (5th generation)
Geekbench AI Score
3086
Single Precision Score
14170
Half Precision Score
14151
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 01:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1307
243.0 IPS |
|
|
Image Classification (HP)
|
100% |
6152
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5905
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8808
142.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9140
148.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6007
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
64836
75.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
64661
75.8 IPS |
|
|
Object Detection (SP)
|
100% |
1389
110.2 IPS |
|
|
Object Detection (HP)
|
99% |
6370
506.7 IPS |
|
|
Object Detection (Q)
|
91% |
6070
485.0 IPS |
|
|
Face Detection (SP)
|
100% |
2978
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
12400
147.3 IPS |
|
|
Face Detection (Q)
|
100% |
12541
149.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5486
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
42041
323.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
44993
351.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16471
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119323
153.4 IPS |
|
|
Style Transfer (Q)
|
96% |
111017
143.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3453
127.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22922
846.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23386
863.5 IPS |
|
|
Text Classification (SP)
|
100% |
2395
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4202
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4174
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2477
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2435
41.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2486
43.0 IPS |
