iPad15,5
Geekbench AI Score
8137
Single Precision Score
9262
Half Precision Score
8747
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 30 2025 11:53 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
4083
759.3 IPS |
|
|
Image Classification (HP)
|
100% |
4374
813.5 IPS |
|
|
Image Classification (Q)
|
96% |
3924
732.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6101
98.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6457
104.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6278
101.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
21666
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24055
28.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23452
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4217
334.5 IPS |
|
|
Object Detection (HP)
|
100% |
4515
358.1 IPS |
|
|
Object Detection (Q)
|
92% |
4245
338.8 IPS |
|
|
Face Detection (SP)
|
100% |
11374
135.1 IPS |
|
|
Face Detection (HP)
|
100% |
14432
171.5 IPS |
|
|
Face Detection (Q)
|
100% |
11609
137.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17709
136.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19297
148.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
17652
137.9 IPS |
|
|
Style Transfer (SP)
|
100% |
47038
60.5 IPS |
|
|
Style Transfer (HP)
|
100% |
54656
70.3 IPS |
|
|
Style Transfer (Q)
|
96% |
53029
68.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10079
372.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10257
378.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8830
326.1 IPS |
|
|
Text Classification (SP)
|
100% |
3225
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5563
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5680
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1817
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1744
30.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1963
33.9 IPS |
