iPad Air (5th generation)
Geekbench AI Score
4858
Single Precision Score
5569
Half Precision Score
4955
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | October 31 2024 11:37 PM |
| Views | 4 |
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% |
2086
387.9 IPS |
|
|
Image Classification (HP)
|
100% |
1896
352.5 IPS |
|
|
Image Classification (Q)
|
97% |
1776
331.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2643
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3623
58.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3688
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16934
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18421
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16848
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2704
214.5 IPS |
|
|
Object Detection (HP)
|
100% |
2685
213.0 IPS |
|
|
Object Detection (Q)
|
91% |
2195
175.4 IPS |
|
|
Face Detection (SP)
|
100% |
6768
80.4 IPS |
|
|
Face Detection (HP)
|
100% |
8404
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
5816
69.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12217
94.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13556
104.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
11293
88.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29025
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34594
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32201
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6299
232.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6978
257.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5403
199.5 IPS |
|
|
Text Classification (SP)
|
100% |
2248
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3723
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3688
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
826
14.2 IPS |
|
|
Machine Translation (Q)
|
98% |
874
15.1 IPS |
