iPad15,3
Geekbench AI Score
4129
Single Precision Score
7087
Half Precision Score
5714
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 07:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1601
297.8 IPS |
|
|
Image Classification (HP)
|
100% |
2951
548.7 IPS |
|
|
Image Classification (Q)
|
96% |
2034
379.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1874
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2894
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3223
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8949
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17555
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15109
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1822
144.5 IPS |
|
|
Object Detection (HP)
|
97% |
3251
258.8 IPS |
|
|
Object Detection (Q)
|
94% |
2349
187.2 IPS |
|
|
Face Detection (SP)
|
100% |
3564
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
6836
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
3982
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7136
55.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12790
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9056
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22475
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34601
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28561
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5228
193.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6128
226.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4471
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
3008
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5456
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5377
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3279
56.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6491
112.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6445
111.4 IPS |
