iPad Air (5th generation)
Geekbench AI Score
3213
Single Precision Score
15825
Half Precision Score
15557
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | March 23 2025 12:50 PM |
| Views | 4 |
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% |
1392
258.9 IPS |
|
|
Image Classification (HP)
|
100% |
6294
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5933
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9567
155.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10076
163.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6472
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
70125
81.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
67579
79.2 IPS |
|
|
Object Detection (SP)
|
100% |
1489
118.1 IPS |
|
|
Object Detection (HP)
|
99% |
7360
585.5 IPS |
|
|
Object Detection (Q)
|
91% |
6939
554.4 IPS |
|
|
Face Detection (SP)
|
100% |
2991
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
16643
197.8 IPS |
|
|
Face Detection (Q)
|
100% |
15303
181.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5657
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
47925
369.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
48853
381.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16939
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120633
155.1 IPS |
|
|
Style Transfer (Q)
|
96% |
114137
147.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3725
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23551
869.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23764
877.5 IPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3919
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3948
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2543
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3570
61.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3701
64.0 IPS |
