iPad Air (5th generation)
Geekbench AI Score
4876
Single Precision Score
5756
Half Precision Score
5078
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:12 AM |
| 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% |
2122
394.7 IPS |
|
|
Image Classification (HP)
|
100% |
2364
439.7 IPS |
|
|
Image Classification (Q)
|
97% |
1828
341.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2712
44.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3653
59.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3667
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16858
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18312
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16672
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2719
215.7 IPS |
|
|
Object Detection (HP)
|
100% |
2732
216.7 IPS |
|
|
Object Detection (Q)
|
91% |
2155
172.2 IPS |
|
|
Face Detection (SP)
|
100% |
6752
80.2 IPS |
|
|
Face Detection (HP)
|
100% |
8401
99.8 IPS |
|
|
Face Detection (Q)
|
100% |
5829
69.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12121
93.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13807
106.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
10799
84.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28336
36.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33355
42.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32135
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6382
235.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7107
262.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5491
202.8 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3948
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3927
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
852
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1086
18.8 IPS |
