iPad15,3
Geekbench AI Score
3993
Single Precision Score
7090
Half Precision Score
5730
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | fran_98opera |
| Upload Date | October 09 2025 06:35 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1516
281.8 IPS |
|
|
Image Classification (HP)
|
100% |
2997
557.3 IPS |
|
|
Image Classification (Q)
|
96% |
2090
390.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1800
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2929
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3230
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8394
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
17509
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15073
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1717
136.2 IPS |
|
|
Object Detection (HP)
|
97% |
3233
257.4 IPS |
|
|
Object Detection (Q)
|
94% |
2344
186.9 IPS |
|
|
Face Detection (SP)
|
100% |
3416
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
6835
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
3989
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6949
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12713
98.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9048
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21997
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33838
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28082
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4972
183.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6116
225.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4459
164.6 IPS |
|
|
Text Classification (SP)
|
100% |
3099
4.14 KIPS |
|
|
Text Classification (HP)
|
99% |
5331
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5246
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3261
56.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6746
116.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6754
116.7 IPS |
