iPad Air (5th generation)
Geekbench AI Score
3101
Single Precision Score
5440
Half Precision Score
4459
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | WallyS |
| Upload Date | February 24 2026 08:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad Air (5th generation) |
| Model ID | iPad13,16 |
| Motherboard | J407AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1312
244.0 IPS |
|
|
Image Classification (HP)
|
100% |
2216
412.1 IPS |
|
|
Image Classification (Q)
|
96% |
1576
294.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2210
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2553
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6029
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14160
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12172
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1393
110.5 IPS |
|
|
Object Detection (HP)
|
97% |
2431
193.5 IPS |
|
|
Object Detection (Q)
|
94% |
1804
143.8 IPS |
|
|
Face Detection (SP)
|
100% |
2985
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5463
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
3193
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5503
42.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10448
80.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7384
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16491
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26278
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21861
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3454
127.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4591
169.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3504
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
2389
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4191
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4175
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2472
42.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4672
80.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4673
80.8 IPS |
