iPad Air (5th generation)
Geekbench AI Score
4889
Single Precision Score
5704
Half Precision Score
5047
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mastersproxy1 |
| Upload Date | December 13 2024 01:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2128
395.8 IPS |
|
|
Image Classification (HP)
|
100% |
2113
393.0 IPS |
|
|
Image Classification (Q)
|
97% |
2040
380.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2679
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3626
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3704
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16981
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18236
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16841
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2729
216.5 IPS |
|
|
Object Detection (HP)
|
100% |
2727
216.3 IPS |
|
|
Object Detection (Q)
|
91% |
2210
176.6 IPS |
|
|
Face Detection (SP)
|
100% |
6837
81.2 IPS |
|
|
Face Detection (HP)
|
100% |
8547
101.6 IPS |
|
|
Face Detection (Q)
|
100% |
5901
70.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12169
93.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13739
105.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
11402
89.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28370
36.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34601
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32141
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6422
237.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7172
264.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5514
203.6 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3892
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3860
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
852
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
830
14.3 IPS |
