iPad Air (3rd generation)
Geekbench AI Score
660
Single Precision Score
788
Half Precision Score
434
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | August 23 2024 11:30 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
253
47.0 IPS |
|
|
Image Classification (HP)
|
100% |
268
49.8 IPS |
|
|
Image Classification (Q)
|
99% |
256
47.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
216
3.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
249
4.03 IPS |
|
|
Image Segmentation (Q)
|
100% |
252
4.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
1640
1.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2348
2.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
657
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
524
41.6 IPS |
|
|
Object Detection (HP)
|
100% |
567
44.9 IPS |
|
|
Object Detection (Q)
|
92% |
160
12.7 IPS |
|
|
Face Detection (SP)
|
100% |
1920
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
2271
27.0 IPS |
|
|
Face Detection (Q)
|
100% |
263
3.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
1755
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2538
19.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
2528
19.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4532
5.83 IPS |
|
|
Style Transfer (HP)
|
100% |
5558
7.14 IPS |
|
|
Style Transfer (Q)
|
100% |
5563
7.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
788
29.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1054
38.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
290
10.7 IPS |
|
|
Text Classification (SP)
|
100% |
147
195.7 IPS |
|
|
Text Classification (HP)
|
100% |
196
261.8 IPS |
|
|
Text Classification (Q)
|
93% |
201
269.8 IPS |
|
|
Machine Translation (SP)
|
100% |
190
3.26 IPS |
|
|
Machine Translation (HP)
|
100% |
158
2.72 IPS |
|
|
Machine Translation (Q)
|
98% |
163
2.82 IPS |
