iPad Air (5th generation)
Geekbench AI Score
3223
Single Precision Score
15551
Half Precision Score
15234
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 01 2025 03:52 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1418
263.6 IPS |
|
|
Image Classification (HP)
|
100% |
6195
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5557
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1415
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9705
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9937
161.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6505
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
66818
78.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
66694
78.2 IPS |
|
|
Object Detection (SP)
|
100% |
1502
119.1 IPS |
|
|
Object Detection (HP)
|
99% |
7188
571.8 IPS |
|
|
Object Detection (Q)
|
91% |
6697
535.1 IPS |
|
|
Face Detection (SP)
|
100% |
3039
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
16407
195.0 IPS |
|
|
Face Detection (Q)
|
100% |
15324
182.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5677
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47234
363.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
47583
371.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16990
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120258
154.6 IPS |
|
|
Style Transfer (Q)
|
96% |
113343
146.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3679
135.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22701
838.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23554
869.7 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3822
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3809
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2518
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3544
61.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3683
63.6 IPS |
