iPad Air (5th generation)
Geekbench AI Score
3198
Single Precision Score
5352
Half Precision Score
4395
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | andriyfedorov |
| Upload Date | May 12 2025 11:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1398
260.0 IPS |
|
|
Image Classification (HP)
|
100% |
2191
407.5 IPS |
|
|
Image Classification (Q)
|
96% |
1568
292.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2526
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6485
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
14215
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12198
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1489
118.1 IPS |
|
|
Object Detection (HP)
|
97% |
2408
191.7 IPS |
|
|
Object Detection (Q)
|
94% |
1784
142.2 IPS |
|
|
Face Detection (SP)
|
100% |
3005
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5412
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
3159
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5652
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10393
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7357
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16969
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26939
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22319
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3681
135.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4592
169.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3501
129.3 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3856
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3828
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2529
43.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4479
77.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4491
77.6 IPS |
