iPad Air (5th generation)
Geekbench AI Score
3226
Single Precision Score
14390
Half Precision Score
14026
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | HunterJie |
| Upload Date | September 06 2024 09:03 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1407
261.6 IPS |
|
|
Image Classification (HP)
|
100% |
6260
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5883
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1380
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6616
107.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6762
109.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6520
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
66788
77.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65821
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (HP)
|
99% |
7242
576.1 IPS |
|
|
Object Detection (Q)
|
91% |
6672
533.1 IPS |
|
|
Face Detection (SP)
|
100% |
3020
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
16049
190.7 IPS |
|
|
Face Detection (Q)
|
100% |
14942
177.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5800
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47026
362.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
46904
366.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17098
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119988
154.2 IPS |
|
|
Style Transfer (Q)
|
96% |
111560
144.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3748
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23022
850.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23720
875.9 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3945
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3948
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2490
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2311
39.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2305
39.8 IPS |
