iPad Air (5th generation)
Geekbench AI Score
2701
Single Precision Score
5102
Half Precision Score
4182
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 20 2025 10:55 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
945
175.7 IPS |
|
|
Image Classification (HP)
|
100% |
1622
301.7 IPS |
|
|
Image Classification (Q)
|
96% |
1522
284.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
925
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2002
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1980
32.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6021
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
13837
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11857
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1368
108.5 IPS |
|
|
Object Detection (HP)
|
97% |
2355
187.5 IPS |
|
|
Object Detection (Q)
|
94% |
1755
139.9 IPS |
|
|
Face Detection (SP)
|
100% |
3002
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5385
64.0 IPS |
|
|
Face Detection (Q)
|
100% |
2810
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4896
37.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9551
73.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6618
51.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16740
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26864
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22337
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2046
75.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4591
169.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3521
130.0 IPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3960
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3952
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2502
43.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4502
77.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4522
78.2 IPS |
