iPad15,3
Geekbench AI Score
8165
Single Precision Score
9264
Half Precision Score
8599
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 10 2025 07:08 PM |
| Views | 7 |
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% |
4081
758.9 IPS |
|
|
Image Classification (HP)
|
100% |
4350
808.9 IPS |
|
|
Image Classification (Q)
|
96% |
3940
735.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6101
98.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6488
105.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6276
101.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
21696
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24054
28.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23466
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4212
334.1 IPS |
|
|
Object Detection (HP)
|
100% |
4569
362.4 IPS |
|
|
Object Detection (Q)
|
92% |
4242
338.6 IPS |
|
|
Face Detection (SP)
|
100% |
11452
136.1 IPS |
|
|
Face Detection (HP)
|
100% |
14485
172.1 IPS |
|
|
Face Detection (Q)
|
100% |
11651
138.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17707
136.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19292
148.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
17661
137.9 IPS |
|
|
Style Transfer (SP)
|
100% |
47057
60.5 IPS |
|
|
Style Transfer (HP)
|
100% |
54668
70.3 IPS |
|
|
Style Transfer (Q)
|
96% |
53026
68.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10079
372.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10269
379.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8829
326.0 IPS |
|
|
Text Classification (SP)
|
100% |
3174
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5574
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5458
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1898
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1718
29.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1708
29.5 IPS |
