iPad Air (5th generation)
Geekbench AI Score
4870
Single Precision Score
5639
Half Precision Score
5093
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | October 15 2024 04:26 AM |
| Views | 4 |
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% |
2012
374.2 IPS |
|
|
Image Classification (HP)
|
100% |
1974
367.0 IPS |
|
|
Image Classification (Q)
|
97% |
1907
356.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2687
43.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3653
59.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3780
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17213
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18452
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16602
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2719
215.7 IPS |
|
|
Object Detection (HP)
|
100% |
2739
217.3 IPS |
|
|
Object Detection (Q)
|
91% |
2146
171.5 IPS |
|
|
Face Detection (SP)
|
100% |
6788
80.7 IPS |
|
|
Face Detection (HP)
|
100% |
8348
99.2 IPS |
|
|
Face Detection (Q)
|
100% |
5910
70.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12197
94.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13698
105.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
10802
84.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28627
36.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33588
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32243
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6365
235.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7207
266.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5471
202.0 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3792
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3773
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1077
18.6 IPS |
