iPad Air (5th generation)
Geekbench AI Score
3209
Single Precision Score
5361
Half Precision Score
4398
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 08:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1413
262.7 IPS |
|
|
Image Classification (HP)
|
100% |
2191
407.5 IPS |
|
|
Image Classification (Q)
|
96% |
1560
291.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1359
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2531
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6502
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
14221
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12202
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1502
119.1 IPS |
|
|
Object Detection (HP)
|
97% |
2412
192.0 IPS |
|
|
Object Detection (Q)
|
94% |
1790
142.7 IPS |
|
|
Face Detection (SP)
|
100% |
3017
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5436
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
3177
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5674
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10427
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7385
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16988
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26966
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22378
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3686
136.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4590
169.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3493
129.0 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3858
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3827
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2516
43.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4498
77.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4481
77.4 IPS |
