iPad Air (5th generation)
Geekbench AI Score
3246
Single Precision Score
5265
Half Precision Score
4373
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | masm66 |
| Upload Date | January 09 2025 05:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
2182
405.8 IPS |
|
|
Image Classification (Q)
|
96% |
1559
291.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1385
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2206
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2594
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6534
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13866
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11989
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1517
120.3 IPS |
|
|
Object Detection (HP)
|
97% |
2445
194.6 IPS |
|
|
Object Detection (Q)
|
94% |
1801
143.6 IPS |
|
|
Face Detection (SP)
|
100% |
3063
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
5599
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
3230
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5811
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11054
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7656
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17174
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26297
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21991
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3754
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4461
164.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3346
123.5 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3327
4.44 KIPS |
|
|
Text Classification (Q)
|
93% |
3779
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2580
44.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4157
71.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4265
73.7 IPS |
