iPad Air (5th generation)
Geekbench AI Score
3243
Single Precision Score
14337
Half Precision Score
13964
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 03:20 AM |
| Views | 1 |
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% |
1404
261.2 IPS |
|
|
Image Classification (HP)
|
100% |
6231
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5796
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6636
107.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6748
109.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6530
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
66532
77.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
65693
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.3 IPS |
|
|
Object Detection (HP)
|
99% |
7220
574.4 IPS |
|
|
Object Detection (Q)
|
91% |
6663
532.4 IPS |
|
|
Face Detection (SP)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
16074
191.0 IPS |
|
|
Face Detection (Q)
|
100% |
14955
177.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5783
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
47251
364.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
47263
369.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17147
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119793
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
111929
144.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3752
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22921
846.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23780
878.1 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3825
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3763
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2517
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2316
39.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2326
40.2 IPS |
