iPad Air (5th generation)
Geekbench AI Score
4910
Single Precision Score
5724
Half Precision Score
5060
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 05:04 PM |
| Views | 1 |
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% |
2181
405.6 IPS |
|
|
Image Classification (HP)
|
100% |
2222
413.2 IPS |
|
|
Image Classification (Q)
|
97% |
1966
366.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2680
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3646
59.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3679
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16940
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18322
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16948
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2740
217.3 IPS |
|
|
Object Detection (HP)
|
100% |
2737
217.1 IPS |
|
|
Object Detection (Q)
|
91% |
2224
177.7 IPS |
|
|
Face Detection (SP)
|
100% |
6804
80.8 IPS |
|
|
Face Detection (HP)
|
100% |
8394
99.7 IPS |
|
|
Face Detection (Q)
|
100% |
5866
69.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12283
94.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
13674
105.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
11295
88.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29121
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34861
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32462
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6368
235.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7136
263.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5436
200.7 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3838
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3828
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
903
15.6 IPS |
