iPad15,3
Geekbench AI Score
8060
Single Precision Score
9312
Half Precision Score
8805
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 06:56 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% |
4092
761.0 IPS |
|
|
Image Classification (HP)
|
100% |
4344
807.8 IPS |
|
|
Image Classification (Q)
|
96% |
3938
735.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6205
100.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6514
105.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6256
101.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
21671
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24033
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23457
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4203
333.4 IPS |
|
|
Object Detection (HP)
|
100% |
4583
363.5 IPS |
|
|
Object Detection (Q)
|
92% |
4246
338.9 IPS |
|
|
Face Detection (SP)
|
100% |
11469
136.3 IPS |
|
|
Face Detection (HP)
|
100% |
14519
172.5 IPS |
|
|
Face Detection (Q)
|
100% |
11667
138.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17755
136.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19323
148.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
17670
138.0 IPS |
|
|
Style Transfer (SP)
|
100% |
47323
60.8 IPS |
|
|
Style Transfer (HP)
|
100% |
54717
70.3 IPS |
|
|
Style Transfer (Q)
|
96% |
53039
68.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10057
371.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10286
379.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8838
326.3 IPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5531
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5512
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1617
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1803
31.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2144
37.1 IPS |
