iPad Air M3 iPad15,3
Geekbench AI Score
4046
Single Precision Score
7166
Half Precision Score
5812
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | paz_levi |
| Upload Date | October 02 2025 05:51 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1548
288.0 IPS |
|
|
Image Classification (HP)
|
100% |
3016
560.9 IPS |
|
|
Image Classification (Q)
|
96% |
2108
393.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1858
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2978
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3311
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8404
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
17551
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15099
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1721
136.5 IPS |
|
|
Object Detection (HP)
|
97% |
3277
260.9 IPS |
|
|
Object Detection (Q)
|
94% |
2395
190.9 IPS |
|
|
Face Detection (SP)
|
100% |
3530
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
6869
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
4006
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7071
54.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12926
99.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9116
71.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22011
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33916
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28193
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4982
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6160
227.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4471
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
3164
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5486
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5471
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3266
56.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6793
117.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6927
119.7 IPS |
