iPad Air (5th generation)
Geekbench AI Score
3246
Single Precision Score
5338
Half Precision Score
4402
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | earth-sol |
| Upload Date | September 24 2024 06:33 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1401
260.6 IPS |
|
|
Image Classification (HP)
|
100% |
2186
406.5 IPS |
|
|
Image Classification (Q)
|
96% |
1565
292.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2204
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2569
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6542
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13953
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12057
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1517
120.3 IPS |
|
|
Object Detection (HP)
|
97% |
2445
194.7 IPS |
|
|
Object Detection (Q)
|
94% |
1791
142.7 IPS |
|
|
Face Detection (SP)
|
100% |
3055
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5548
65.9 IPS |
|
|
Face Detection (Q)
|
100% |
3198
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5815
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11090
85.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7663
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17233
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26391
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22075
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3761
138.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4530
167.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3423
126.4 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3942
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3953
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2539
43.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3944
68.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4304
74.4 IPS |
