iPad15,3
Geekbench AI Score
3967
Single Precision Score
7036
Half Precision Score
5708
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 18 2025 06:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1489
277.0 IPS |
|
|
Image Classification (HP)
|
100% |
2960
550.5 IPS |
|
|
Image Classification (Q)
|
96% |
2077
387.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1794
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2920
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3210
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8316
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
17412
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15007
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1697
134.6 IPS |
|
|
Object Detection (HP)
|
97% |
3211
255.6 IPS |
|
|
Object Detection (Q)
|
94% |
2329
185.6 IPS |
|
|
Face Detection (SP)
|
100% |
3412
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
6586
78.3 IPS |
|
|
Face Detection (Q)
|
100% |
3900
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6963
53.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12732
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8994
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21613
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33703
43.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28033
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4860
179.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6113
225.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4452
164.4 IPS |
|
|
Text Classification (SP)
|
100% |
3180
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5483
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5505
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3230
55.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6501
112.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6544
113.1 IPS |
