iPad Air (5th generation)
Geekbench AI Score
3218
Single Precision Score
15809
Half Precision Score
15389
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | April 07 2025 02:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1411
262.4 IPS |
|
|
Image Classification (HP)
|
100% |
6277
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5825
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9712
157.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10084
163.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6509
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
69126
80.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
66719
78.2 IPS |
|
|
Object Detection (SP)
|
100% |
1495
118.6 IPS |
|
|
Object Detection (HP)
|
99% |
7277
578.9 IPS |
|
|
Object Detection (Q)
|
91% |
6749
539.3 IPS |
|
|
Face Detection (SP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
16591
197.1 IPS |
|
|
Face Detection (Q)
|
100% |
15291
181.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5647
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
48461
373.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
47888
374.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16970
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120469
154.9 IPS |
|
|
Style Transfer (Q)
|
96% |
111686
144.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3717
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23071
851.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23818
879.5 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3918
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3856
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2515
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3632
62.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3750
64.8 IPS |
