iPad Air (5th generation)
Geekbench AI Score
3232
Single Precision Score
5328
Half Precision Score
4379
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | yasin9300 |
| Upload Date | December 22 2024 09:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
2181
405.7 IPS |
|
|
Image Classification (Q)
|
96% |
1561
291.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2207
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2595
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6529
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13873
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12026
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1511
119.9 IPS |
|
|
Object Detection (HP)
|
97% |
2441
194.3 IPS |
|
|
Object Detection (Q)
|
94% |
1793
142.9 IPS |
|
|
Face Detection (SP)
|
100% |
3050
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5587
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3219
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5834
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11068
85.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7651
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17177
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26290
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21960
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3756
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4406
162.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3370
124.5 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3896
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3855
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2488
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4054
70.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4229
73.1 IPS |
