iPad Air (5th generation)
Geekbench AI Score
2836
Single Precision Score
4903
Half Precision Score
4288
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ote-sonic |
| Upload Date | October 11 2024 01:18 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1399
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
2186
406.5 IPS |
|
|
Image Classification (Q)
|
96% |
1565
292.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2210
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2591
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6538
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13958
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12051
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1502
119.1 IPS |
|
|
Object Detection (HP)
|
97% |
2416
192.4 IPS |
|
|
Object Detection (Q)
|
94% |
1789
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
3055
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5571
66.2 IPS |
|
|
Face Detection (Q)
|
100% |
2531
30.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3787
29.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10073
77.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7667
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10014
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25171
32.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21985
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3621
133.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3480
128.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3414
126.1 IPS |
|
|
Text Classification (SP)
|
100% |
1719
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3937
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2462
42.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3077
53.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4194
72.5 IPS |
