iPad Air (3rd generation)
Geekbench AI Score
673
Single Precision Score
1129
Half Precision Score
1004
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | October 06 2024 05:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
375
69.7 IPS |
|
|
Image Classification (HP)
|
100% |
670
124.6 IPS |
|
|
Image Classification (Q)
|
96% |
546
101.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
427
6.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
747
12.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
777
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1210
1.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
1227
1.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
1158
1.36 IPS |
|
|
Object Detection (SP)
|
100% |
364
28.9 IPS |
|
|
Object Detection (HP)
|
99% |
736
58.4 IPS |
|
|
Object Detection (Q)
|
92% |
616
49.2 IPS |
|
|
Face Detection (SP)
|
100% |
934
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
1848
22.0 IPS |
|
|
Face Detection (Q)
|
100% |
1242
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
987
7.60 IPS |
|
|
Depth Estimation (HP)
|
98% |
1733
13.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
1515
11.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2549
3.28 IPS |
|
|
Style Transfer (HP)
|
100% |
4231
5.44 IPS |
|
|
Style Transfer (Q)
|
96% |
3938
5.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
651
24.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
914
33.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
786
29.0 IPS |
|
|
Text Classification (SP)
|
100% |
287
383.5 IPS |
|
|
Text Classification (HP)
|
100% |
561
748.8 IPS |
|
|
Text Classification (Q)
|
93% |
559
750.5 IPS |
|
|
Machine Translation (SP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1073
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1060
18.3 IPS |
