iPad Air (5th generation)
Geekbench AI Score
3214
Single Precision Score
5409
Half Precision Score
4438
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 11 2025 07:59 PM |
| Views | 5 |
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% |
1417
263.4 IPS |
|
|
Image Classification (HP)
|
100% |
2212
411.3 IPS |
|
|
Image Classification (Q)
|
96% |
1567
292.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2141
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2524
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6478
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
14094
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12190
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
97% |
2413
192.1 IPS |
|
|
Object Detection (Q)
|
94% |
1788
142.5 IPS |
|
|
Face Detection (SP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5428
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3156
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5679
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10398
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7360
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16967
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26963
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22340
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3694
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4624
170.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3521
130.0 IPS |
|
|
Text Classification (SP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4131
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4108
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2513
43.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4585
79.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4588
79.3 IPS |
