iPad Air (5th generation)
Geekbench AI Score
3208
Single Precision Score
5372
Half Precision Score
4406
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 17 2025 02:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1412
262.5 IPS |
|
|
Image Classification (HP)
|
100% |
2182
405.8 IPS |
|
|
Image Classification (Q)
|
96% |
1568
292.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2522
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6495
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14200
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12207
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.7 IPS |
|
|
Object Detection (HP)
|
97% |
2410
191.8 IPS |
|
|
Object Detection (Q)
|
94% |
1779
141.8 IPS |
|
|
Face Detection (SP)
|
100% |
3024
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5419
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
3151
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5667
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10391
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7360
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16974
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26942
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22315
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3691
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4607
170.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3512
129.7 IPS |
|
|
Text Classification (SP)
|
100% |
2271
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3920
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3886
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2535
43.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4560
78.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4555
78.7 IPS |
