iPad15,3
Geekbench AI Score
4039
Single Precision Score
7140
Half Precision Score
5761
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 01:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1539
286.1 IPS |
|
|
Image Classification (HP)
|
100% |
2996
557.1 IPS |
|
|
Image Classification (Q)
|
96% |
2072
387.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2917
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3219
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8401
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
17545
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15094
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1714
135.9 IPS |
|
|
Object Detection (HP)
|
97% |
3252
258.9 IPS |
|
|
Object Detection (Q)
|
94% |
2353
187.6 IPS |
|
|
Face Detection (SP)
|
100% |
3546
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
6863
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
3983
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7073
54.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12870
99.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9052
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21988
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33922
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28144
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4997
184.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6138
226.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4465
164.9 IPS |
|
|
Text Classification (SP)
|
100% |
3168
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5516
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5489
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3280
56.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6808
117.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6839
118.2 IPS |
