iPad Air (5th generation)
Geekbench AI Score
4917
Single Precision Score
5738
Half Precision Score
5108
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 08:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2201
409.3 IPS |
|
|
Image Classification (HP)
|
100% |
2174
404.3 IPS |
|
|
Image Classification (Q)
|
97% |
2060
384.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2694
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3641
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3685
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17016
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18435
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16865
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2694
213.7 IPS |
|
|
Object Detection (HP)
|
100% |
2727
216.3 IPS |
|
|
Object Detection (Q)
|
91% |
2241
179.1 IPS |
|
|
Face Detection (SP)
|
100% |
6851
81.4 IPS |
|
|
Face Detection (HP)
|
100% |
8397
99.8 IPS |
|
|
Face Detection (Q)
|
100% |
5905
70.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12122
93.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13829
106.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
11173
87.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29132
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34280
44.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32416
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6494
239.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7172
264.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5490
202.7 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3933
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3969
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
866
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
906
15.7 IPS |
