iPad Air 11-inch (M3) iPad15,4
Geekbench AI Score
7689
Single Precision Score
9214
Half Precision Score
8132
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 27 2025 01:20 PM |
| Views | 5 |
| Notes | iPad Air 11-inch (M3) with Wi-Fi + Cellular/1TB |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4050
753.1 IPS |
|
|
Image Classification (HP)
|
100% |
4401
818.4 IPS |
|
|
Image Classification (Q)
|
97% |
3696
689.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4209
68.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5619
91.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5822
94.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
22902
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
23952
27.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
22926
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
4230
335.5 IPS |
|
|
Object Detection (HP)
|
100% |
4620
366.5 IPS |
|
|
Object Detection (Q)
|
91% |
3943
315.1 IPS |
|
|
Face Detection (SP)
|
100% |
11343
134.8 IPS |
|
|
Face Detection (HP)
|
100% |
14073
167.2 IPS |
|
|
Face Detection (Q)
|
100% |
10169
120.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17880
137.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19616
151.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
16912
132.2 IPS |
|
|
Style Transfer (SP)
|
100% |
47407
60.9 IPS |
|
|
Style Transfer (HP)
|
100% |
54832
70.5 IPS |
|
|
Style Transfer (Q)
|
96% |
51426
66.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10292
380.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11358
419.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8904
328.8 IPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5101
6.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5203
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1511
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1838
31.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1587
27.4 IPS |
