iPadAirM3 (iPad15,4) iPad15,4
Geekbench AI Score
4044
Single Precision Score
7158
Half Precision Score
5799
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M4rc0L |
| Upload Date | September 17 2025 07:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1544
287.1 IPS |
|
|
Image Classification (HP)
|
100% |
2993
556.7 IPS |
|
|
Image Classification (Q)
|
96% |
2102
392.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1856
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2987
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3317
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8392
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
17536
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15107
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1720
136.4 IPS |
|
|
Object Detection (HP)
|
97% |
3273
260.5 IPS |
|
|
Object Detection (Q)
|
94% |
2389
190.4 IPS |
|
|
Face Detection (SP)
|
100% |
3503
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
6898
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
3997
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7069
54.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12848
99.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9133
71.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21930
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33900
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28163
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4990
184.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6160
227.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4474
165.2 IPS |
|
|
Text Classification (SP)
|
100% |
3175
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5496
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5466
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3289
56.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6772
117.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6809
117.7 IPS |
