iPad Air 13-inch (7th generation)
Geekbench AI Score
9093
Single Precision Score
10432
Half Precision Score
9055
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 01 2026 01:37 PM |
| Views | 12 |
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 | iPad15,6 |
| Motherboard | J638AP |
| 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% |
4226
785.8 IPS |
|
|
Image Classification (HP)
|
100% |
4524
841.2 IPS |
|
|
Image Classification (Q)
|
96% |
4241
791.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6234
101.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6684
108.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6370
103.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
21679
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24027
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23474
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4334
343.7 IPS |
|
|
Object Detection (HP)
|
100% |
4738
375.8 IPS |
|
|
Object Detection (Q)
|
91% |
4559
364.4 IPS |
|
|
Face Detection (SP)
|
100% |
11907
141.5 IPS |
|
|
Face Detection (HP)
|
100% |
15205
180.7 IPS |
|
|
Face Detection (Q)
|
100% |
14063
167.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17711
136.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19356
149.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
18357
143.6 IPS |
|
|
Style Transfer (SP)
|
100% |
47239
60.7 IPS |
|
|
Style Transfer (HP)
|
100% |
54910
70.6 IPS |
|
|
Style Transfer (Q)
|
96% |
53015
68.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10057
371.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10236
378.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8837
326.3 IPS |
|
|
Text Classification (SP)
|
100% |
3159
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5539
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5476
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4933
85.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4844
83.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1937
33.5 IPS |
