iPad Air 13-inch (7th generation)
Geekbench AI Score
4260
Single Precision Score
7467
Half Precision Score
6058
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | cwebb15 |
| Upload Date | April 05 2026 10:13 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1557
289.6 IPS |
|
|
Image Classification (HP)
|
100% |
2962
550.8 IPS |
|
|
Image Classification (Q)
|
96% |
2085
389.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2948
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3252
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8278
9.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
17529
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15113
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1753
139.1 IPS |
|
|
Object Detection (HP)
|
97% |
3222
256.5 IPS |
|
|
Object Detection (Q)
|
94% |
2337
186.3 IPS |
|
|
Face Detection (SP)
|
100% |
3507
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
6891
81.9 IPS |
|
|
Face Detection (Q)
|
100% |
4005
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6925
53.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12764
98.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9045
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21762
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34596
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28655
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4924
181.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6136
226.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4468
165.0 IPS |
|
|
Text Classification (SP)
|
99% |
5569
7.43 KIPS |
|
|
Text Classification (HP)
|
99% |
9188
12.3 KIPS |
|
|
Text Classification (Q)
|
93% |
9349
12.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
3298
56.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6369
110.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6419
110.9 IPS |
