iPad Air (3rd generation)
Geekbench AI Score
629
Single Precision Score
1020
Half Precision Score
873
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | August 21 2024 09:01 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad Air (3rd generation) |
| Model ID | iPad11,3 |
| Motherboard | J217AP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.84 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
354
65.8 IPS |
|
|
Image Classification (HP)
|
100% |
589
109.5 IPS |
|
|
Image Classification (Q)
|
99% |
583
108.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
353
5.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
507
8.22 IPS |
|
|
Image Segmentation (Q)
|
100% |
510
8.28 IPS |
|
|
Pose Estimation (SP)
|
100% |
1194
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1237
1.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
1184
1.39 IPS |
|
|
Object Detection (SP)
|
100% |
347
27.5 IPS |
|
|
Object Detection (HP)
|
99% |
652
51.7 IPS |
|
|
Object Detection (Q)
|
92% |
556
44.4 IPS |
|
|
Face Detection (SP)
|
100% |
802
9.53 IPS |
|
|
Face Detection (HP)
|
100% |
1538
18.3 IPS |
|
|
Face Detection (Q)
|
100% |
1083
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
852
6.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
1595
12.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
696
5.38 IPS |
|
|
Style Transfer (SP)
|
100% |
2449
3.15 IPS |
|
|
Style Transfer (HP)
|
100% |
4162
5.35 IPS |
|
|
Style Transfer (Q)
|
100% |
4107
5.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
669
24.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
939
34.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
794
29.4 IPS |
|
|
Text Classification (SP)
|
100% |
286
381.8 IPS |
|
|
Text Classification (HP)
|
100% |
560
747.5 IPS |
|
|
Text Classification (Q)
|
93% |
559
750.7 IPS |
|
|
Machine Translation (SP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (HP)
|
98% |
949
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
962
16.6 IPS |
