iPad Air (5th generation)
Geekbench AI Score
3262
Single Precision Score
14268
Half Precision Score
13965
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:46 AM |
| Views | 1 |
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% |
1396
259.6 IPS |
|
|
Image Classification (HP)
|
100% |
6167
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
6022
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1427
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6588
106.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6742
109.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6525
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
68671
80.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66447
77.9 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
99% |
7196
572.4 IPS |
|
|
Object Detection (Q)
|
91% |
6635
530.2 IPS |
|
|
Face Detection (SP)
|
100% |
3050
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
16036
190.5 IPS |
|
|
Face Detection (Q)
|
100% |
14727
175.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5821
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47437
365.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
47238
369.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17334
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
119578
153.7 IPS |
|
|
Style Transfer (Q)
|
96% |
111399
143.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3812
140.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21744
802.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22785
841.3 IPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3853
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3842
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2586
44.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2286
39.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2324
40.2 IPS |
