iPad Air (3rd generation)
Geekbench ML Score
1143
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 04:29 PM |
| Views | 1 |
System Information
| 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 |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.84 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
198
37.1 IPS |
|
|
Image Classification (F16)
|
100% |
1973
369.2 IPS |
|
|
Image Classification (I8)
|
99% |
1941
363.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
168
2.81 IPS |
|
|
Image Segmentation (F16)
|
100% |
259
4.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
260
4.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
1569
1.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
22118
26.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
22515
27.3 IPS |
|
|
Object Detection (F32)
|
100% |
373
27.9 IPS |
|
|
Object Detection (F16)
|
100% |
452
33.8 IPS |
|
|
Object Detection (I8)
|
97% |
391
29.2 IPS |
|
|
Face Detection (F32)
|
100% |
1760
20.9 IPS |
|
|
Face Detection (F16)
|
98% |
2239
26.6 IPS |
|
|
Face Detection (I8)
|
97% |
2205
26.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
1756
13.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17452
135.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
17113
132.7 IPS |
|
|
Style Transfer (F32)
|
100% |
4383
5.77 IPS |
|
|
Style Transfer (F16)
|
100% |
5503
7.24 IPS |
|
|
Style Transfer (I8)
|
100% |
5529
7.27 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
851
30.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3543
126.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3539
126.4 IPS |
|
|
Text Classification (F32)
|
100% |
159
228.9 IPS |
|
|
Text Classification (F16)
|
100% |
206
295.7 IPS |
|
|
Text Classification (I8)
|
96% |
202
290.4 IPS |
|
|
Machine Translation (F32)
|
100% |
143
2.63 IPS |
|
|
Machine Translation (F16)
|
100% |
142
2.61 IPS |
|
|
Machine Translation (I8)
|
99% |
145
2.66 IPS |
