iPad Air (5th generation)
Geekbench AI Score
3218
Single Precision Score
14264
Half Precision Score
13894
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | September 11 2024 10:34 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% |
1391
258.7 IPS |
|
|
Image Classification (HP)
|
100% |
6152
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5864
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1377
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6590
106.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6725
109.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6529
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
67385
78.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
65744
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1512
120.0 IPS |
|
|
Object Detection (HP)
|
99% |
7185
571.6 IPS |
|
|
Object Detection (Q)
|
91% |
6588
526.4 IPS |
|
|
Face Detection (SP)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
16113
191.5 IPS |
|
|
Face Detection (Q)
|
100% |
14955
177.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5807
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
46681
359.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
46737
365.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17145
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119892
154.1 IPS |
|
|
Style Transfer (Q)
|
96% |
111576
144.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3743
138.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22830
843.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23665
873.8 IPS |
|
|
Text Classification (SP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3749
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3724
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2483
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2303
39.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2284
39.5 IPS |
