iPad Air (5th generation)
Geekbench AI Score
3096
Single Precision Score
14146
Half Precision Score
13820
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | OXO |
| Upload Date | September 27 2025 11:10 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1309
243.5 IPS |
|
|
Image Classification (HP)
|
100% |
5896
1.10 KIPS |
|
|
Image Classification (Q)
|
96% |
5565
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8817
142.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9060
146.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6013
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
64982
75.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
64224
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
1390
110.2 IPS |
|
|
Object Detection (HP)
|
99% |
6368
506.5 IPS |
|
|
Object Detection (Q)
|
91% |
5985
478.3 IPS |
|
|
Face Detection (SP)
|
100% |
2986
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
12396
147.3 IPS |
|
|
Face Detection (Q)
|
100% |
11653
138.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5473
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
42381
326.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
42026
328.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16502
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
118964
152.9 IPS |
|
|
Style Transfer (Q)
|
96% |
110317
142.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3465
128.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22779
841.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22563
833.1 IPS |
|
|
Text Classification (SP)
|
100% |
2425
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
4314
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4195
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2496
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2430
41.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2566
44.3 IPS |
