iPad15,5
Geekbench AI Score
8208
Single Precision Score
9357
Half Precision Score
8792
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 04 2025 01:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4085
759.7 IPS |
|
|
Image Classification (HP)
|
100% |
4345
808.0 IPS |
|
|
Image Classification (Q)
|
96% |
3941
736.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6179
100.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6507
105.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6277
101.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
21673
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24027
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23459
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4196
332.8 IPS |
|
|
Object Detection (HP)
|
100% |
4551
361.0 IPS |
|
|
Object Detection (Q)
|
92% |
4245
338.9 IPS |
|
|
Face Detection (SP)
|
100% |
11424
135.7 IPS |
|
|
Face Detection (HP)
|
100% |
14469
171.9 IPS |
|
|
Face Detection (Q)
|
100% |
11645
138.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17692
136.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19285
148.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
17665
138.0 IPS |
|
|
Style Transfer (SP)
|
100% |
47452
61.0 IPS |
|
|
Style Transfer (HP)
|
100% |
54601
70.2 IPS |
|
|
Style Transfer (Q)
|
96% |
53018
68.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10080
372.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10272
379.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8833
326.2 IPS |
|
|
Text Classification (SP)
|
100% |
3148
4.20 KIPS |
|
|
Text Classification (HP)
|
99% |
5479
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5471
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1989
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1942
33.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2127
36.8 IPS |
