iPad Air (5th generation)
Geekbench AI Score
3224
Single Precision Score
5409
Half Precision Score
4414
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | March 23 2025 12:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1411
262.5 IPS |
|
|
Image Classification (HP)
|
100% |
2214
411.7 IPS |
|
|
Image Classification (Q)
|
96% |
1576
294.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2220
36.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2540
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6489
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
14223
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12190
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.7 IPS |
|
|
Object Detection (HP)
|
97% |
2403
191.3 IPS |
|
|
Object Detection (Q)
|
94% |
1782
142.1 IPS |
|
|
Face Detection (SP)
|
100% |
3019
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5436
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
3160
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5667
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10387
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7353
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16967
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26948
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22346
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3684
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4706
173.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3510
129.6 IPS |
|
|
Text Classification (SP)
|
100% |
2328
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3897
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3861
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2531
43.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4577
79.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4590
79.3 IPS |
