iPad Air (3rd generation)
Geekbench AI Score
519
Single Precision Score
2151
Half Precision Score
377
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 07:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
269
50.1 IPS |
|
|
Image Classification (HP)
|
100% |
2005
372.8 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
253
4.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
385
6.24 IPS |
|
|
Image Segmentation (Q)
|
99% |
196
3.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
1070
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
26524
30.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
860
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
289
23.0 IPS |
|
|
Object Detection (HP)
|
100% |
1446
114.7 IPS |
|
|
Object Detection (Q)
|
94% |
202
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
650
7.72 IPS |
|
|
Face Detection (HP)
|
100% |
5227
62.1 IPS |
|
|
Face Detection (Q)
|
100% |
257
3.05 IPS |
|
|
Depth Estimation (SP)
|
100% |
769
5.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
18519
142.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
497
3.88 IPS |
|
|
Style Transfer (SP)
|
100% |
1967
2.53 IPS |
|
|
Style Transfer (HP)
|
100% |
1964
2.53 IPS |
|
|
Style Transfer (Q)
|
96% |
1517
1.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
590
21.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3600
132.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
497
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
272
363.0 IPS |
|
|
Text Classification (HP)
|
100% |
310
413.6 IPS |
|
|
Text Classification (Q)
|
93% |
321
431.2 IPS |
|
|
Machine Translation (SP)
|
100% |
435
7.50 IPS |
|
|
Machine Translation (HP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (Q)
|
98% |
330
5.71 IPS |
