iPad15,3
Geekbench AI Score
8191
Single Precision Score
9414
Half Precision Score
8702
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | aqus |
| Upload Date | December 27 2025 09:23 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
4117
765.6 IPS |
|
|
Image Classification (HP)
|
100% |
4513
839.2 IPS |
|
|
Image Classification (Q)
|
94% |
3988
745.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6261
101.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6714
108.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6430
104.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
21698
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24038
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23458
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4327
343.3 IPS |
|
|
Object Detection (HP)
|
100% |
4738
375.8 IPS |
|
|
Object Detection (Q)
|
90% |
4337
346.8 IPS |
|
|
Face Detection (SP)
|
100% |
11922
141.7 IPS |
|
|
Face Detection (HP)
|
100% |
15210
180.7 IPS |
|
|
Face Detection (Q)
|
100% |
12059
143.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17813
137.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
19399
149.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
17772
139.0 IPS |
|
|
Style Transfer (SP)
|
100% |
47980
61.7 IPS |
|
|
Style Transfer (HP)
|
100% |
54893
70.6 IPS |
|
|
Style Transfer (Q)
|
96% |
53179
68.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10035
370.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10275
379.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8859
327.1 IPS |
|
|
Text Classification (SP)
|
100% |
3151
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
5530
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5505
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1745
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1722
29.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1718
29.7 IPS |
