iPad Air (5th generation)
Geekbench AI Score
3457
Single Precision Score
4315
Half Precision Score
3656
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 04:19 PM |
| Views | 1 |
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% |
1800
334.8 IPS |
|
|
Image Classification (HP)
|
100% |
1953
363.2 IPS |
|
|
Image Classification (Q)
|
97% |
2002
373.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1770
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2532
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3691
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10691
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11758
13.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
10264
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1464
116.1 IPS |
|
|
Object Detection (HP)
|
100% |
2827
224.2 IPS |
|
|
Object Detection (Q)
|
91% |
1403
112.1 IPS |
|
|
Face Detection (SP)
|
100% |
7182
85.3 IPS |
|
|
Face Detection (HP)
|
100% |
5341
63.5 IPS |
|
|
Face Detection (Q)
|
100% |
3493
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8184
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9981
76.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8116
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18207
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29477
37.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29263
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6835
252.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7559
279.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3968
146.5 IPS |
|
|
Text Classification (SP)
|
100% |
1551
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2617
3.49 KIPS |
|
|
Text Classification (Q)
|
93% |
2621
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
432
7.43 IPS |
|
|
Machine Translation (HP)
|
100% |
438
7.54 IPS |
|
|
Machine Translation (Q)
|
98% |
465
8.04 IPS |
