iPad15,3
Geekbench AI Score
8040
Single Precision Score
9380
Half Precision Score
8631
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | August 31 2025 03:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4072
757.2 IPS |
|
|
Image Classification (HP)
|
100% |
4349
808.8 IPS |
|
|
Image Classification (Q)
|
96% |
3927
733.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6178
100.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6505
105.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6252
101.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
21678
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24033
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23459
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4199
333.0 IPS |
|
|
Object Detection (HP)
|
100% |
4551
361.0 IPS |
|
|
Object Detection (Q)
|
92% |
4237
338.2 IPS |
|
|
Face Detection (SP)
|
100% |
11386
135.3 IPS |
|
|
Face Detection (HP)
|
100% |
14437
171.5 IPS |
|
|
Face Detection (Q)
|
100% |
11622
138.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17710
136.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19292
148.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
17670
138.0 IPS |
|
|
Style Transfer (SP)
|
100% |
47532
61.1 IPS |
|
|
Style Transfer (HP)
|
100% |
54726
70.4 IPS |
|
|
Style Transfer (Q)
|
96% |
53037
68.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10059
371.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10238
378.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8838
326.4 IPS |
|
|
Text Classification (SP)
|
100% |
3220
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5712
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5732
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1588
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1913
33.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1705
29.5 IPS |
