iPad Air (5th generation)
Geekbench AI Score
2854
Single Precision Score
4320
Half Precision Score
3730
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | MacStaLL |
| Upload Date | November 14 2024 04:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1315
244.5 IPS |
|
|
Image Classification (HP)
|
100% |
1694
315.1 IPS |
|
|
Image Classification (Q)
|
96% |
1288
240.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1178
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1685
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5863
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
13516
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11674
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1404
111.4 IPS |
|
|
Object Detection (HP)
|
97% |
1979
157.6 IPS |
|
|
Object Detection (Q)
|
94% |
1535
122.4 IPS |
|
|
Face Detection (SP)
|
100% |
2425
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
4101
48.7 IPS |
|
|
Face Detection (Q)
|
100% |
2668
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5234
40.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
8155
63.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6157
48.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15987
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24908
32.0 IPS |
|
|
Style Transfer (Q)
|
96% |
20947
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3402
125.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4408
162.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3423
126.4 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3777
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3684
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1785
30.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3080
53.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3093
53.4 IPS |
