iPad Air (5th generation)
Geekbench AI Score
3229
Single Precision Score
15511
Half Precision Score
15192
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 03:18 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1394
259.3 IPS |
|
|
Image Classification (HP)
|
100% |
6295
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5814
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1392
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9719
157.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10054
163.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6536
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
66376
77.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
65659
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.7 IPS |
|
|
Object Detection (HP)
|
99% |
7197
572.5 IPS |
|
|
Object Detection (Q)
|
91% |
6650
531.4 IPS |
|
|
Face Detection (SP)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
16467
195.7 IPS |
|
|
Face Detection (Q)
|
100% |
15411
183.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5824
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47252
364.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
47563
371.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17066
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
120359
154.7 IPS |
|
|
Style Transfer (Q)
|
96% |
112345
145.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3747
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23128
854.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23656
873.5 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3954
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3877
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2490
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3221
55.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3398
58.7 IPS |
