iPad Air (5th generation)
Geekbench AI Score
4958
Single Precision Score
5758
Half Precision Score
5104
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 04:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
2371
441.0 IPS |
|
|
Image Classification (HP)
|
100% |
2266
421.4 IPS |
|
|
Image Classification (Q)
|
97% |
1897
354.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2727
44.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3659
59.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3681
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16907
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18370
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16688
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2745
217.8 IPS |
|
|
Object Detection (HP)
|
100% |
2757
218.7 IPS |
|
|
Object Detection (Q)
|
91% |
2152
172.0 IPS |
|
|
Face Detection (SP)
|
100% |
6764
80.4 IPS |
|
|
Face Detection (HP)
|
100% |
8362
99.4 IPS |
|
|
Face Detection (Q)
|
100% |
5896
70.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12370
95.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13770
106.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
10892
85.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28930
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34760
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32091
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6403
236.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7167
264.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5499
203.0 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3891
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3922
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
843
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1078
18.6 IPS |
