iPad Air (5th generation)
Geekbench AI Score
3240
Single Precision Score
14302
Half Precision Score
13894
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 20 2024 01:48 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1397
259.9 IPS |
|
|
Image Classification (HP)
|
100% |
6120
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5787
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6621
107.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6759
109.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6527
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
67761
79.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66189
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.2 IPS |
|
|
Object Detection (HP)
|
99% |
7322
582.5 IPS |
|
|
Object Detection (Q)
|
91% |
6728
537.6 IPS |
|
|
Face Detection (SP)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
15988
190.0 IPS |
|
|
Face Detection (Q)
|
100% |
14917
177.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5791
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
47015
362.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
46960
367.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17209
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
119311
153.4 IPS |
|
|
Style Transfer (Q)
|
96% |
111330
143.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3750
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22383
826.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22677
837.4 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3844
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3789
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2496
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2309
39.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2297
39.7 IPS |
