iPad Air (5th generation)
Geekbench AI Score
4925
Single Precision Score
5731
Half Precision Score
5048
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | March 12 2025 01:46 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2204
409.8 IPS |
|
|
Image Classification (HP)
|
100% |
2322
431.8 IPS |
|
|
Image Classification (Q)
|
97% |
2060
384.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2724
44.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3660
59.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3691
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16942
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18347
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16919
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2722
215.9 IPS |
|
|
Object Detection (HP)
|
100% |
2734
216.8 IPS |
|
|
Object Detection (Q)
|
91% |
2230
178.2 IPS |
|
|
Face Detection (SP)
|
100% |
6867
81.6 IPS |
|
|
Face Detection (HP)
|
100% |
8554
101.6 IPS |
|
|
Face Detection (Q)
|
100% |
5889
70.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12265
94.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13729
105.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
11497
89.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28997
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33802
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32448
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6433
237.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7080
261.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5319
196.4 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3791
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3796
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
842
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
846
14.6 IPS |
