iPad Air (3rd generation)
Geekbench ML Score
674
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | August 15 2024 03:41 PM |
| Views | 2 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
203
38.0 IPS |
|
|
Image Classification (F16)
|
100% |
244
45.7 IPS |
|
|
Image Classification (I8)
|
99% |
244
45.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
166
2.77 IPS |
|
|
Image Segmentation (F16)
|
100% |
186
3.11 IPS |
|
|
Image Segmentation (I8)
|
100% |
187
3.13 IPS |
|
|
Pose Estimation (F32)
|
100% |
1553
1.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
2296
2.78 IPS |
|
|
Pose Estimation (I8)
|
100% |
2294
2.78 IPS |
|
|
Object Detection (F32)
|
100% |
404
30.2 IPS |
|
|
Object Detection (F16)
|
100% |
369
27.6 IPS |
|
|
Object Detection (I8)
|
97% |
356
26.6 IPS |
|
|
Face Detection (F32)
|
100% |
1812
21.5 IPS |
|
|
Face Detection (F16)
|
98% |
2011
23.9 IPS |
|
|
Face Detection (I8)
|
97% |
2070
24.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
1751
13.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2598
20.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
2546
19.7 IPS |
|
|
Style Transfer (F32)
|
100% |
4514
5.94 IPS |
|
|
Style Transfer (F16)
|
100% |
5328
7.01 IPS |
|
|
Style Transfer (I8)
|
100% |
5285
6.95 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
851
30.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1126
40.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1203
43.0 IPS |
|
|
Text Classification (F32)
|
100% |
156
224.8 IPS |
|
|
Text Classification (F16)
|
100% |
201
289.1 IPS |
|
|
Text Classification (I8)
|
96% |
203
292.2 IPS |
|
|
Machine Translation (F32)
|
100% |
145
2.68 IPS |
|
|
Machine Translation (F16)
|
100% |
142
2.61 IPS |
|
|
Machine Translation (I8)
|
99% |
144
2.65 IPS |
