iPad Air 13-inch (7th generation)
Geekbench AI Score
8327
Single Precision Score
9488
Half Precision Score
8685
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | victoriggy |
| Upload Date | February 15 2026 11:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad Air 13-inch (7th generation) |
| Model ID | iPad15,5 |
| Motherboard | J637AP |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4222
785.1 IPS |
|
|
Image Classification (HP)
|
100% |
4553
846.8 IPS |
|
|
Image Classification (Q)
|
94% |
4026
752.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6261
101.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6732
109.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6456
104.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
21717
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24051
28.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23455
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4314
342.2 IPS |
|
|
Object Detection (HP)
|
100% |
4743
376.2 IPS |
|
|
Object Detection (Q)
|
90% |
4337
346.8 IPS |
|
|
Face Detection (SP)
|
100% |
11787
140.1 IPS |
|
|
Face Detection (HP)
|
100% |
15195
180.5 IPS |
|
|
Face Detection (Q)
|
100% |
12035
143.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17762
136.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19358
149.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
17732
138.7 IPS |
|
|
Style Transfer (SP)
|
100% |
47665
61.3 IPS |
|
|
Style Transfer (HP)
|
100% |
54861
70.5 IPS |
|
|
Style Transfer (Q)
|
96% |
53061
68.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10017
369.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10254
378.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8848
326.7 IPS |
|
|
Text Classification (SP)
|
100% |
3188
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5518
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5414
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2033
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1852
31.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1704
29.5 IPS |
