iPad Air (4th generation)
Geekbench AI Score
1660
Single Precision Score
10018
Half Precision Score
8323
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 07:02 PM |
| 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% |
758
140.9 IPS |
|
|
Image Classification (HP)
|
100% |
4221
784.9 IPS |
|
|
Image Classification (Q)
|
96% |
4393
820.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
557
9.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
3513
56.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
464
7.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
5104
5.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
57321
66.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
59258
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
879
69.7 IPS |
|
|
Object Detection (HP)
|
99% |
5266
418.9 IPS |
|
|
Object Detection (Q)
|
93% |
4804
383.3 IPS |
|
|
Face Detection (SP)
|
100% |
1430
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
10975
130.4 IPS |
|
|
Face Detection (Q)
|
100% |
10250
121.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3062
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
34307
264.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
37686
294.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8883
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
91535
117.7 IPS |
|
|
Style Transfer (Q)
|
96% |
95161
122.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2406
88.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14548
537.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16507
609.5 IPS |
|
|
Text Classification (SP)
|
100% |
867
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (Q)
|
93% |
2270
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1040
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2007
34.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1996
34.5 IPS |
