iPad Air (5th generation)
Geekbench AI Score
5178
Single Precision Score
5904
Half Precision Score
5560
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | March 23 2025 12:45 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2142
398.4 IPS |
|
|
Image Classification (HP)
|
100% |
2202
409.4 IPS |
|
|
Image Classification (Q)
|
96% |
2271
424.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4018
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4256
69.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4107
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17284
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18290
21.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17650
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
2673
212.0 IPS |
|
|
Object Detection (HP)
|
100% |
2706
214.6 IPS |
|
|
Object Detection (Q)
|
92% |
2447
195.3 IPS |
|
|
Face Detection (SP)
|
100% |
6764
80.4 IPS |
|
|
Face Detection (HP)
|
100% |
8305
98.7 IPS |
|
|
Face Detection (Q)
|
100% |
7041
83.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12310
94.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13727
105.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12623
98.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28656
36.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33903
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
33650
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6410
236.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7178
265.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6068
224.1 IPS |
|
|
Text Classification (SP)
|
100% |
2319
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3879
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3836
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
984
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1008
17.4 IPS |
