iPad Air (5th generation)
Geekbench AI Score
3234
Single Precision Score
5318
Half Precision Score
4398
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | NycDriipy |
| Upload Date | December 12 2024 02:53 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1410
262.1 IPS |
|
|
Image Classification (HP)
|
100% |
2194
407.9 IPS |
|
|
Image Classification (Q)
|
96% |
1560
291.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1389
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2201
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2574
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6531
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13947
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12048
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (HP)
|
97% |
2433
193.7 IPS |
|
|
Object Detection (Q)
|
94% |
1793
142.9 IPS |
|
|
Face Detection (SP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5596
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
3204
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5794
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11104
85.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7660
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17178
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26299
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22024
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3755
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4441
164.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3417
126.2 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3909
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3969
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2478
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3895
67.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4260
73.6 IPS |
