iPad Air 11-inch (M3) iPad15,4
Geekbench AI Score
4151
Single Precision Score
7044
Half Precision Score
5683
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 27 2025 01:17 PM |
| Views | 5 |
| Notes | iPad Air 11-inch (M3) with Wi-Fi + Cellular/1TB |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPad15,4 |
| Model ID | iPad15,4 |
| Motherboard | J608AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1592
296.0 IPS |
|
|
Image Classification (HP)
|
100% |
2996
557.1 IPS |
|
|
Image Classification (Q)
|
96% |
2083
389.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1895
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3015
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3315
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8886
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17350
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15043
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1843
146.2 IPS |
|
|
Object Detection (HP)
|
97% |
3290
262.0 IPS |
|
|
Object Detection (Q)
|
94% |
2359
188.0 IPS |
|
|
Face Detection (SP)
|
100% |
3506
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
6926
82.3 IPS |
|
|
Face Detection (Q)
|
100% |
4044
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7134
55.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13606
105.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9356
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22390
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34060
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28298
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5275
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6060
223.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4419
163.2 IPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5143
6.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5158
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3555
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5838
100.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5884
101.7 IPS |
