iPad Air (4th generation)
Geekbench AI Score
2714
Single Precision Score
4569
Half Precision Score
3807
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ixhayabusa |
| Upload Date | October 16 2024 09:15 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1209
224.8 IPS |
|
|
Image Classification (HP)
|
100% |
1908
354.7 IPS |
|
|
Image Classification (Q)
|
96% |
1360
254.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1084
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1757
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2183
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5452
6.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
11111
13.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
9895
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1316
104.4 IPS |
|
|
Object Detection (HP)
|
97% |
2146
170.8 IPS |
|
|
Object Detection (Q)
|
94% |
1562
124.5 IPS |
|
|
Face Detection (SP)
|
100% |
2443
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
4580
54.4 IPS |
|
|
Face Detection (Q)
|
100% |
2703
32.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4952
38.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9665
74.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6682
52.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13837
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22849
29.4 IPS |
|
|
Style Transfer (Q)
|
96% |
19440
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2969
109.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4248
156.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3086
113.9 IPS |
|
|
Text Classification (SP)
|
100% |
2131
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3524
4.70 KIPS |
|
|
Text Classification (Q)
|
93% |
3565
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2183
37.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3276
56.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3613
62.4 IPS |
