iPad Air (5th generation)
Geekbench AI Score
2203
Single Precision Score
11610
Half Precision Score
11440
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | April 01 2025 12:32 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
930
172.9 IPS |
|
|
Image Classification (HP)
|
100% |
4844
900.9 IPS |
|
|
Image Classification (Q)
|
96% |
4463
833.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
975
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7561
122.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7927
128.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4299
5.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
47285
55.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
46488
54.5 IPS |
|
|
Object Detection (SP)
|
100% |
1007
79.9 IPS |
|
|
Object Detection (HP)
|
99% |
5242
417.0 IPS |
|
|
Object Detection (Q)
|
91% |
4985
398.3 IPS |
|
|
Face Detection (SP)
|
100% |
2203
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
11430
135.8 IPS |
|
|
Face Detection (Q)
|
100% |
11044
131.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3773
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35834
276.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
36600
286.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11440
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
91257
117.3 IPS |
|
|
Style Transfer (Q)
|
96% |
86079
111.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2527
93.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17820
658.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18067
667.1 IPS |
|
|
Text Classification (SP)
|
100% |
1530
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2581
3.44 KIPS |
|
|
Text Classification (Q)
|
93% |
2579
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1872
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2852
49.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2891
50.0 IPS |
