iPad Air (5th generation)
Geekbench AI Score
4927
Single Precision Score
5740
Half Precision Score
5119
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Cric_Hammel |
| Upload Date | February 21 2025 11:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
2293
426.4 IPS |
|
|
Image Classification (HP)
|
100% |
2130
396.0 IPS |
|
|
Image Classification (Q)
|
97% |
2136
398.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2666
43.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3647
59.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3727
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16940
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18252
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17206
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
2721
215.8 IPS |
|
|
Object Detection (HP)
|
100% |
2753
218.4 IPS |
|
|
Object Detection (Q)
|
91% |
2222
177.6 IPS |
|
|
Face Detection (SP)
|
100% |
6889
81.9 IPS |
|
|
Face Detection (HP)
|
100% |
8496
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
5855
69.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12173
93.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13921
107.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
11566
90.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28954
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34650
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32746
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6429
237.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7244
267.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5516
203.7 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3898
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3880
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
860
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
857
14.8 IPS |
