iPad Air (5th generation)
Geekbench AI Score
3060
Single Precision Score
15216
Half Precision Score
15286
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 08:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1382
257.0 IPS |
|
|
Image Classification (HP)
|
100% |
5841
1.09 KIPS |
|
|
Image Classification (Q)
|
96% |
5395
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
993
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8938
144.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9769
158.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5988
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
68676
80.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65771
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1502
119.1 IPS |
|
|
Object Detection (HP)
|
99% |
7316
582.0 IPS |
|
|
Object Detection (Q)
|
91% |
6723
537.2 IPS |
|
|
Face Detection (SP)
|
100% |
2953
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
15566
185.0 IPS |
|
|
Face Detection (Q)
|
100% |
15633
185.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5785
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
46977
361.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
50216
392.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16787
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
119325
153.4 IPS |
|
|
Style Transfer (Q)
|
96% |
117632
151.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3615
133.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23087
852.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23864
881.2 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4043
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
3988
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2471
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3116
53.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3401
58.8 IPS |
