iPad15,3
Geekbench AI Score
7568
Single Precision Score
9249
Half Precision Score
8606
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | mitmcint |
| Upload Date | December 04 2025 01:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
4084
759.6 IPS |
|
|
Image Classification (HP)
|
100% |
4335
806.1 IPS |
|
|
Image Classification (Q)
|
96% |
3947
737.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6144
99.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6518
105.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6279
101.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
21650
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24058
28.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23470
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
2208
175.2 IPS |
|
|
Object Detection (HP)
|
100% |
4565
362.1 IPS |
|
|
Object Detection (Q)
|
92% |
4235
338.1 IPS |
|
|
Face Detection (SP)
|
100% |
11457
136.1 IPS |
|
|
Face Detection (HP)
|
100% |
14507
172.4 IPS |
|
|
Face Detection (Q)
|
100% |
11671
138.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17723
136.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19335
149.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
17663
138.0 IPS |
|
|
Style Transfer (SP)
|
100% |
47672
61.3 IPS |
|
|
Style Transfer (HP)
|
100% |
54546
70.1 IPS |
|
|
Style Transfer (Q)
|
96% |
53045
68.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10265
379.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10275
379.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8852
326.9 IPS |
|
|
Text Classification (SP)
|
100% |
3232
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5558
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5492
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1600
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1691
29.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1702
29.4 IPS |
