iPad Air (5th generation)
Geekbench AI Score
4804
Single Precision Score
5620
Half Precision Score
5032
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | September 11 2024 10:30 AM |
| Views | 3 |
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% |
1944
361.5 IPS |
|
|
Image Classification (HP)
|
100% |
2047
380.7 IPS |
|
|
Image Classification (Q)
|
97% |
1935
361.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2695
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3628
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3668
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17248
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18270
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16634
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2696
213.8 IPS |
|
|
Object Detection (HP)
|
100% |
2746
217.8 IPS |
|
|
Object Detection (Q)
|
91% |
2117
169.2 IPS |
|
|
Face Detection (SP)
|
100% |
6711
79.7 IPS |
|
|
Face Detection (HP)
|
100% |
8402
99.8 IPS |
|
|
Face Detection (Q)
|
100% |
5891
70.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12182
93.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13605
104.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
10741
84.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28254
36.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33380
42.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32137
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6302
232.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7080
261.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5432
200.6 IPS |
|
|
Text Classification (SP)
|
100% |
2226
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3755
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3742
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1008
17.4 IPS |
