iPad Air (5th generation)
Geekbench AI Score
3226
Single Precision Score
14392
Half Precision Score
14027
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1380
256.5 IPS |
|
|
Image Classification (HP)
|
100% |
6175
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5906
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1372
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6619
107.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6728
109.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6521
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
68605
80.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65687
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
99% |
7218
574.2 IPS |
|
|
Object Detection (Q)
|
91% |
6697
535.2 IPS |
|
|
Face Detection (SP)
|
100% |
3001
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
16053
190.7 IPS |
|
|
Face Detection (Q)
|
100% |
15021
178.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5810
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47252
364.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
47334
369.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17152
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120096
154.4 IPS |
|
|
Style Transfer (Q)
|
96% |
111362
143.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3754
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23170
855.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23708
875.4 IPS |
|
|
Text Classification (SP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3856
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3889
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2578
44.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2316
39.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2311
39.9 IPS |
