iPad Air 11-inch (7th generation)
Geekbench AI Score
4024
Single Precision Score
7141
Half Precision Score
5773
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | January 26 2026 12:18 AM |
| Views | 10 |
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 | iPad15,4 |
| Motherboard | J608AP |
| 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% |
1545
287.4 IPS |
|
|
Image Classification (HP)
|
100% |
2973
553.0 IPS |
|
|
Image Classification (Q)
|
96% |
2097
391.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1826
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2935
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3228
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8414
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
17535
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15099
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1717
136.2 IPS |
|
|
Object Detection (HP)
|
97% |
3241
258.1 IPS |
|
|
Object Detection (Q)
|
94% |
2346
187.0 IPS |
|
|
Face Detection (SP)
|
100% |
3421
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
6872
81.7 IPS |
|
|
Face Detection (Q)
|
100% |
3995
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6956
53.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12744
98.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9039
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22019
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33846
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28143
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4982
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6133
226.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4470
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
3175
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5569
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5546
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3303
56.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6875
118.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6809
117.7 IPS |
