iPad Air 11-inch (7th generation)
Geekbench AI Score
4011
Single Precision Score
7125
Half Precision Score
5748
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | DradMind |
| Upload Date | January 22 2026 10:13 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad Air 11-inch (7th generation) |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1522
283.0 IPS |
|
|
Image Classification (HP)
|
100% |
2961
550.6 IPS |
|
|
Image Classification (Q)
|
96% |
2042
381.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1803
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2906
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3215
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8390
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
17571
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15062
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1718
136.3 IPS |
|
|
Object Detection (HP)
|
97% |
3244
258.3 IPS |
|
|
Object Detection (Q)
|
94% |
2345
186.9 IPS |
|
|
Face Detection (SP)
|
100% |
3450
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
6899
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
3997
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6967
53.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12746
98.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9071
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21936
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33834
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28117
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4984
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6145
226.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4468
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
3173
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5492
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5442
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3272
56.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6855
118.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6852
118.4 IPS |
