iPad15,3
Geekbench AI Score
4091
Single Precision Score
7020
Half Precision Score
5691
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 11:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1610
299.5 IPS |
|
|
Image Classification (HP)
|
100% |
2953
549.2 IPS |
|
|
Image Classification (Q)
|
96% |
2036
380.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1879
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2893
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3222
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8818
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17368
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15031
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1813
143.8 IPS |
|
|
Object Detection (HP)
|
97% |
3203
255.0 IPS |
|
|
Object Detection (Q)
|
94% |
2334
186.0 IPS |
|
|
Face Detection (SP)
|
100% |
3537
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
6749
80.2 IPS |
|
|
Face Detection (Q)
|
100% |
3974
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6961
53.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12692
98.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8996
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22032
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34409
44.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28356
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5201
192.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6129
226.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4460
164.7 IPS |
|
|
Text Classification (SP)
|
100% |
2979
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5470
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5430
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3234
55.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6193
107.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6311
109.1 IPS |
