iPad Air (5th generation)
Geekbench AI Score
3221
Single Precision Score
15658
Half Precision Score
15373
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 25 2025 11:05 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1382
257.0 IPS |
|
|
Image Classification (HP)
|
100% |
6216
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5752
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1359
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9699
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10028
162.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6546
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
67483
78.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
65774
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.2 IPS |
|
|
Object Detection (HP)
|
99% |
7216
574.1 IPS |
|
|
Object Detection (Q)
|
91% |
6677
533.5 IPS |
|
|
Face Detection (SP)
|
100% |
3056
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
16570
196.9 IPS |
|
|
Face Detection (Q)
|
100% |
15325
182.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5781
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47221
363.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
48001
375.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17132
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120217
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
112400
145.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3754
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23232
857.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23899
882.5 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3794
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3889
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2486
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3641
62.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3789
65.5 IPS |
