iPad Air (5th generation)
Geekbench AI Score
3227
Single Precision Score
15538
Half Precision Score
15175
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mastersproxy1 |
| Upload Date | December 16 2024 04:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1390
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
6267
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5636
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1385
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9741
157.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10019
162.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6542
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
67311
78.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
65662
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.4 IPS |
|
|
Object Detection (HP)
|
99% |
7245
576.3 IPS |
|
|
Object Detection (Q)
|
91% |
6723
537.2 IPS |
|
|
Face Detection (SP)
|
100% |
3024
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
16443
195.4 IPS |
|
|
Face Detection (Q)
|
100% |
15323
182.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5819
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47181
363.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
47581
371.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17171
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120172
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
112210
144.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3754
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23175
855.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23808
879.1 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3956
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3946
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2482
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3225
55.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3382
58.4 IPS |
