iPad Air 11-inch (M3) iPad15,4
Geekbench AI Score
4162
Single Precision Score
30568
Half Precision Score
34427
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 27 2025 01:22 PM |
| Views | 22 |
| Notes | iPad Air 11-inch (M3) with Wi-Fi + Cellular/1TB |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1590
295.7 IPS |
|
|
Image Classification (HP)
|
100% |
17145
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
19831
3.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1894
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20789
337.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
26107
423.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8781
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
121635
141.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
121364
142.2 IPS |
|
|
Object Detection (SP)
|
100% |
1853
147.0 IPS |
|
|
Object Detection (HP)
|
100% |
17960
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
20587
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
3534
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
38379
456.0 IPS |
|
|
Face Detection (Q)
|
100% |
49465
587.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7147
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
97796
753.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
122489
957.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22609
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
229739
295.3 IPS |
|
|
Style Transfer (Q)
|
96% |
221375
285.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5329
196.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46346
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55177
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2941
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5160
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5102
6.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3558
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4437
76.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4789
82.8 IPS |
