iPad Air (5th generation)
Geekbench AI Score
4843
Single Precision Score
5684
Half Precision Score
5084
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | November 01 2024 07:12 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1930
358.9 IPS |
|
|
Image Classification (HP)
|
100% |
2002
372.2 IPS |
|
|
Image Classification (Q)
|
97% |
2114
394.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2703
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3642
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3668
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17099
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18518
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16817
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2722
215.9 IPS |
|
|
Object Detection (HP)
|
100% |
2775
220.1 IPS |
|
|
Object Detection (Q)
|
91% |
2231
178.3 IPS |
|
|
Face Detection (SP)
|
100% |
6755
80.3 IPS |
|
|
Face Detection (HP)
|
100% |
8393
99.7 IPS |
|
|
Face Detection (Q)
|
100% |
5861
69.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12244
94.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13672
105.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
11216
87.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28377
36.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33890
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32063
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6314
233.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7196
265.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5454
201.4 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3838
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3826
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
860
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
875
15.1 IPS |
|
|
Machine Translation (Q)
|
98% |
902
15.6 IPS |
