iPad Air (5th generation)
Geekbench AI Score
4922
Single Precision Score
5715
Half Precision Score
5117
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | jdawson |
| Upload Date | September 29 2024 01:35 PM |
| Views | 8 |
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% |
2317
430.9 IPS |
|
|
Image Classification (HP)
|
100% |
2174
404.3 IPS |
|
|
Image Classification (Q)
|
97% |
1969
367.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2685
43.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3641
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3681
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16955
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18468
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16758
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2726
216.2 IPS |
|
|
Object Detection (HP)
|
100% |
2739
217.3 IPS |
|
|
Object Detection (Q)
|
91% |
2160
172.6 IPS |
|
|
Face Detection (SP)
|
100% |
6765
80.4 IPS |
|
|
Face Detection (HP)
|
100% |
8333
99.0 IPS |
|
|
Face Detection (Q)
|
100% |
5868
69.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12126
93.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13773
106.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
10809
84.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28854
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34703
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32325
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6364
235.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7013
259.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5546
204.8 IPS |
|
|
Text Classification (SP)
|
100% |
2261
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3889
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3836
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1077
18.6 IPS |
