iPad Air (4th generation)
Geekbench AI Score
1673
Single Precision Score
10446
Half Precision Score
8735
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 05:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad Air (4th generation) |
| Model ID | iPad13,1 |
| Motherboard | J307AP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
776
144.3 IPS |
|
|
Image Classification (HP)
|
100% |
4930
916.8 IPS |
|
|
Image Classification (Q)
|
96% |
4595
858.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
557
9.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
3683
59.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
463
7.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
5183
6.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
58110
67.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
59537
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
882
70.0 IPS |
|
|
Object Detection (HP)
|
99% |
5290
420.8 IPS |
|
|
Object Detection (Q)
|
93% |
5189
414.0 IPS |
|
|
Face Detection (SP)
|
100% |
1453
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
11057
131.4 IPS |
|
|
Face Detection (Q)
|
100% |
10463
124.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3068
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
34520
266.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
42545
332.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8919
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
95221
122.4 IPS |
|
|
Style Transfer (Q)
|
96% |
101375
130.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2408
88.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14378
530.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17499
646.2 IPS |
|
|
Text Classification (SP)
|
100% |
881
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
2660
3.55 KIPS |
|
|
Text Classification (Q)
|
93% |
2500
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1035
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1995
34.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1993
34.4 IPS |
