iPad Air 11-inch (7th generation)
Geekbench AI Score
8029
Single Precision Score
9413
Half Precision Score
8600
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Gelert |
| Upload Date | January 31 2026 11:52 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
4112
764.7 IPS |
|
|
Image Classification (HP)
|
100% |
4393
816.9 IPS |
|
|
Image Classification (Q)
|
96% |
3945
736.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6073
98.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6473
104.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6254
101.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
21675
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24059
28.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23470
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4193
332.6 IPS |
|
|
Object Detection (HP)
|
100% |
4563
361.9 IPS |
|
|
Object Detection (Q)
|
92% |
4244
338.8 IPS |
|
|
Face Detection (SP)
|
100% |
11393
135.4 IPS |
|
|
Face Detection (HP)
|
100% |
14445
171.6 IPS |
|
|
Face Detection (Q)
|
100% |
11642
138.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17675
136.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
19255
148.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
17676
138.1 IPS |
|
|
Style Transfer (SP)
|
100% |
47009
60.4 IPS |
|
|
Style Transfer (HP)
|
100% |
54644
70.2 IPS |
|
|
Style Transfer (Q)
|
96% |
53090
68.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10094
372.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10260
378.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8858
327.1 IPS |
|
|
Text Classification (SP)
|
100% |
3219
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5561
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5473
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1596
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2018
34.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1701
29.4 IPS |
