iPad Air (5th generation)
Geekbench AI Score
5158
Single Precision Score
5879
Half Precision Score
5517
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | April 03 2025 01:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2081
387.1 IPS |
|
|
Image Classification (HP)
|
100% |
2021
375.8 IPS |
|
|
Image Classification (Q)
|
96% |
2087
389.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4010
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4245
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4103
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17003
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18375
21.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
17498
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
2691
213.5 IPS |
|
|
Object Detection (HP)
|
100% |
2714
215.3 IPS |
|
|
Object Detection (Q)
|
92% |
2439
194.7 IPS |
|
|
Face Detection (SP)
|
100% |
6691
79.5 IPS |
|
|
Face Detection (HP)
|
100% |
8398
99.8 IPS |
|
|
Face Detection (Q)
|
100% |
7046
83.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12225
94.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13763
106.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
12560
98.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28741
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34622
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
33082
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6375
235.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7160
264.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6111
225.7 IPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3911
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3821
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1029
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1046
18.1 IPS |
