iPad Air (5th generation)
Geekbench AI Score
3224
Single Precision Score
5414
Half Precision Score
4434
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | April 03 2025 01:43 PM |
| Views | 3 |
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% |
1401
260.6 IPS |
|
|
Image Classification (HP)
|
100% |
2207
410.4 IPS |
|
|
Image Classification (Q)
|
96% |
1578
294.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2236
36.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2542
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6489
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
14117
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12209
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
97% |
2412
192.1 IPS |
|
|
Object Detection (Q)
|
94% |
1781
141.9 IPS |
|
|
Face Detection (SP)
|
100% |
3010
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5410
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
3157
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5676
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10398
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7341
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16988
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26990
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22327
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3713
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4627
170.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3532
130.4 IPS |
|
|
Text Classification (SP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3992
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4040
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2540
43.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4596
79.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4568
78.9 IPS |
