iPad Air (5th generation)
Geekbench AI Score
3238
Single Precision Score
14402
Half Precision Score
14070
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | earth-sol |
| Upload Date | September 24 2024 06:38 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1395
259.5 IPS |
|
|
Image Classification (HP)
|
100% |
6171
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5857
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1380
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6627
107.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6761
109.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6538
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
68235
79.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
66244
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (HP)
|
99% |
7216
574.0 IPS |
|
|
Object Detection (Q)
|
91% |
6724
537.3 IPS |
|
|
Face Detection (SP)
|
100% |
3044
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
16046
190.7 IPS |
|
|
Face Detection (Q)
|
100% |
14858
176.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5795
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
47204
363.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
47872
374.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17274
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
120321
154.7 IPS |
|
|
Style Transfer (Q)
|
96% |
111913
144.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3760
138.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23102
853.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23673
874.1 IPS |
|
|
Text Classification (SP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3896
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3955
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2508
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2325
40.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2314
40.0 IPS |
