iPad Air (5th generation)
Geekbench AI Score
3238
Single Precision Score
5470
Half Precision Score
4457
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 21 2025 09:11 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1408
261.9 IPS |
|
|
Image Classification (HP)
|
100% |
2214
411.8 IPS |
|
|
Image Classification (Q)
|
96% |
1578
294.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2200
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2529
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6519
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
14213
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12204
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
97% |
2421
192.8 IPS |
|
|
Object Detection (Q)
|
94% |
1788
142.5 IPS |
|
|
Face Detection (SP)
|
100% |
3033
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5430
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3158
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5665
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10434
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7361
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16980
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26902
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22297
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3692
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4772
176.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3510
129.6 IPS |
|
|
Text Classification (SP)
|
100% |
2439
3.26 KIPS |
|
|
Text Classification (HP)
|
99% |
4210
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4174
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2564
44.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4674
80.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4678
80.8 IPS |
