iPad15,5
Geekbench AI Score
8140
Single Precision Score
9280
Half Precision Score
8553
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 01 2025 11:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4020
747.6 IPS |
|
|
Image Classification (HP)
|
100% |
4230
786.7 IPS |
|
|
Image Classification (Q)
|
96% |
3861
721.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6221
100.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6438
104.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6280
101.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
22917
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
23627
27.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
23339
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
4201
333.2 IPS |
|
|
Object Detection (HP)
|
100% |
4652
369.0 IPS |
|
|
Object Detection (Q)
|
92% |
4239
338.4 IPS |
|
|
Face Detection (SP)
|
100% |
11481
136.4 IPS |
|
|
Face Detection (HP)
|
100% |
14418
171.3 IPS |
|
|
Face Detection (Q)
|
100% |
11626
138.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18253
140.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19225
148.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
17742
138.6 IPS |
|
|
Style Transfer (SP)
|
100% |
48102
61.8 IPS |
|
|
Style Transfer (HP)
|
100% |
54063
69.5 IPS |
|
|
Style Transfer (Q)
|
96% |
52832
68.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10404
384.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10242
378.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8974
331.4 IPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5333
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5359
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1689
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1935
33.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1667
28.8 IPS |
