iPad15,3
Geekbench AI Score
4026
Single Precision Score
7158
Half Precision Score
5781
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 19 2025 04:13 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| 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% |
1529
284.3 IPS |
|
|
Image Classification (HP)
|
100% |
2996
557.2 IPS |
|
|
Image Classification (Q)
|
96% |
2047
382.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1808
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2891
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3216
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8405
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
17529
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15098
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1715
136.0 IPS |
|
|
Object Detection (HP)
|
97% |
3236
257.6 IPS |
|
|
Object Detection (Q)
|
94% |
2342
186.7 IPS |
|
|
Face Detection (SP)
|
100% |
3492
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
6813
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
3982
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7055
54.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12799
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9067
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22031
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33883
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28170
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4974
183.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6146
226.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4473
165.2 IPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5667
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5666
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3260
56.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6993
120.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6952
120.1 IPS |
