iPad15,3
Geekbench AI Score
8163
Single Precision Score
9342
Half Precision Score
8596
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 02:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4078
758.3 IPS |
|
|
Image Classification (HP)
|
100% |
4353
809.5 IPS |
|
|
Image Classification (Q)
|
96% |
3934
734.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6193
100.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6502
105.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6253
101.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
21657
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24061
28.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23467
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4238
336.2 IPS |
|
|
Object Detection (HP)
|
100% |
4557
361.5 IPS |
|
|
Object Detection (Q)
|
92% |
4254
339.5 IPS |
|
|
Face Detection (SP)
|
100% |
11444
136.0 IPS |
|
|
Face Detection (HP)
|
100% |
14485
172.1 IPS |
|
|
Face Detection (Q)
|
100% |
11648
138.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17783
137.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19304
148.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
17681
138.1 IPS |
|
|
Style Transfer (SP)
|
100% |
47752
61.4 IPS |
|
|
Style Transfer (HP)
|
100% |
54646
70.2 IPS |
|
|
Style Transfer (Q)
|
96% |
53024
68.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10079
372.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10267
379.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8828
326.0 IPS |
|
|
Text Classification (SP)
|
100% |
3173
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5566
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5463
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1824
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1870
32.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1705
29.5 IPS |
