iPad Air (5th generation)
Geekbench AI Score
4885
Single Precision Score
5676
Half Precision Score
5003
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | 0phum0 |
| Upload Date | September 25 2024 06:31 AM |
| Views | 6 |
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% |
2156
400.9 IPS |
|
|
Image Classification (HP)
|
100% |
1959
364.4 IPS |
|
|
Image Classification (Q)
|
97% |
1884
351.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2697
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3638
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3666
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16772
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18367
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16833
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2726
216.2 IPS |
|
|
Object Detection (HP)
|
100% |
2729
216.5 IPS |
|
|
Object Detection (Q)
|
91% |
2234
178.5 IPS |
|
|
Face Detection (SP)
|
100% |
6809
80.9 IPS |
|
|
Face Detection (HP)
|
100% |
8490
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
5736
68.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12287
94.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13659
105.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
11238
87.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28377
36.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34726
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31878
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6399
236.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7205
266.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5432
200.6 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3941
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3916
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
842
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
866
15.0 IPS |
