iPad Air 11-inch (7th generation)
Geekbench AI Score
4057
Single Precision Score
7179
Half Precision Score
5826
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | COTJAR |
| Upload Date | January 09 2026 11:50 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1550
288.3 IPS |
|
|
Image Classification (HP)
|
100% |
2993
556.6 IPS |
|
|
Image Classification (Q)
|
96% |
2103
392.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1857
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2953
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3339
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8422
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
17550
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15119
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1732
137.4 IPS |
|
|
Object Detection (HP)
|
97% |
3296
262.4 IPS |
|
|
Object Detection (Q)
|
94% |
2415
192.5 IPS |
|
|
Face Detection (SP)
|
100% |
3534
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
6937
82.4 IPS |
|
|
Face Detection (Q)
|
100% |
4057
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7101
54.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13002
100.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9184
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22069
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34094
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28266
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4995
184.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6072
224.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4456
164.6 IPS |
|
|
Text Classification (SP)
|
100% |
3168
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5608
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5551
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3290
56.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6794
117.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6756
116.8 IPS |
