iPad Air (5th generation)
Geekbench AI Score
3226
Single Precision Score
5320
Half Precision Score
4375
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Cric_Hammel |
| Upload Date | February 21 2025 11:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1391
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
2180
405.5 IPS |
|
|
Image Classification (Q)
|
96% |
1560
291.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1379
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2235
36.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2586
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6532
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13870
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11987
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
97% |
2438
194.1 IPS |
|
|
Object Detection (Q)
|
94% |
1794
143.0 IPS |
|
|
Face Detection (SP)
|
100% |
3040
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5598
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
3211
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5778
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11052
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7650
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17183
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26266
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21938
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3748
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4390
162.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3377
124.7 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3907
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3875
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2479
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3956
68.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4201
72.6 IPS |
