iPad Air 11-inch (7th generation) iPad15,3
Geekbench AI Score
8116
Single Precision Score
9380
Half Precision Score
8611
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | B43k22 |
| Upload Date | December 20 2025 06:46 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4087
760.0 IPS |
|
|
Image Classification (HP)
|
100% |
4351
809.2 IPS |
|
|
Image Classification (Q)
|
96% |
3923
732.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6144
99.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6481
105.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6282
101.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
21681
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24016
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23456
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4217
334.5 IPS |
|
|
Object Detection (HP)
|
100% |
4556
361.4 IPS |
|
|
Object Detection (Q)
|
92% |
4236
338.1 IPS |
|
|
Face Detection (SP)
|
100% |
11441
135.9 IPS |
|
|
Face Detection (HP)
|
100% |
14507
172.4 IPS |
|
|
Face Detection (Q)
|
100% |
11663
138.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17719
136.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19309
148.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
17675
138.1 IPS |
|
|
Style Transfer (SP)
|
100% |
47089
60.5 IPS |
|
|
Style Transfer (HP)
|
100% |
54703
70.3 IPS |
|
|
Style Transfer (Q)
|
96% |
53051
68.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10075
372.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10287
379.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8837
326.3 IPS |
|
|
Text Classification (SP)
|
100% |
3177
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5560
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5543
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1769
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1951
33.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1709
29.5 IPS |
