iPad15,5
Geekbench AI Score
4013
Single Precision Score
7096
Half Precision Score
5746
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 06:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad15,5 |
| Model ID | iPad15,5 |
| Motherboard | J637AP |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1537
285.8 IPS |
|
|
Image Classification (HP)
|
100% |
2959
550.3 IPS |
|
|
Image Classification (Q)
|
96% |
2085
389.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2941
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3286
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8394
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
17527
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15088
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1718
136.2 IPS |
|
|
Object Detection (HP)
|
97% |
3242
258.1 IPS |
|
|
Object Detection (Q)
|
94% |
2352
187.4 IPS |
|
|
Face Detection (SP)
|
100% |
3450
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
6846
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
3995
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6951
53.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12782
98.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9067
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21980
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33746
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28083
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4977
183.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6101
225.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4453
164.4 IPS |
|
|
Text Classification (SP)
|
100% |
3093
4.13 KIPS |
|
|
Text Classification (HP)
|
99% |
5355
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5231
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3295
56.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6793
117.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6813
117.7 IPS |
