iPad Air (5th generation)
Geekbench AI Score
4876
Single Precision Score
5724
Half Precision Score
5112
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | November 05 2024 11:09 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1984
369.0 IPS |
|
|
Image Classification (HP)
|
100% |
2112
392.8 IPS |
|
|
Image Classification (Q)
|
97% |
2059
384.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2713
44.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3662
59.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3713
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17018
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18443
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16940
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2747
217.9 IPS |
|
|
Object Detection (HP)
|
100% |
2748
217.9 IPS |
|
|
Object Detection (Q)
|
91% |
2229
178.1 IPS |
|
|
Face Detection (SP)
|
100% |
6926
82.3 IPS |
|
|
Face Detection (HP)
|
100% |
8445
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
5914
70.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12340
95.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13784
106.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
11304
88.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28435
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34026
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31952
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6377
235.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7187
265.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5505
203.3 IPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3906
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3885
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
867
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
925
16.0 IPS |
