iPad15,3
Geekbench AI Score
8054
Single Precision Score
9287
Half Precision Score
8619
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 06:35 PM |
| 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% |
4086
759.9 IPS |
|
|
Image Classification (HP)
|
100% |
4349
808.8 IPS |
|
|
Image Classification (Q)
|
96% |
3935
734.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6097
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6499
105.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6250
101.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
21672
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24022
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23454
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4209
333.9 IPS |
|
|
Object Detection (HP)
|
100% |
4561
361.8 IPS |
|
|
Object Detection (Q)
|
92% |
4242
338.6 IPS |
|
|
Face Detection (SP)
|
100% |
11448
136.0 IPS |
|
|
Face Detection (HP)
|
100% |
14485
172.1 IPS |
|
|
Face Detection (Q)
|
100% |
11681
138.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17721
136.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19264
148.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
17631
137.7 IPS |
|
|
Style Transfer (SP)
|
100% |
47473
61.0 IPS |
|
|
Style Transfer (HP)
|
100% |
54622
70.2 IPS |
|
|
Style Transfer (Q)
|
96% |
53101
68.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10241
378.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10256
378.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8848
326.7 IPS |
|
|
Text Classification (SP)
|
100% |
3210
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5747
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5594
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1598
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1717
29.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1710
29.6 IPS |
