iPad Air (3rd generation)
Geekbench ML Score
701
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 08:08 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad Air (3rd generation) |
| Model ID | iPad11,4 |
| Motherboard | J218AP |
| 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% |
209
39.2 IPS |
|
|
Image Classification (F16)
|
100% |
284
53.2 IPS |
|
|
Image Classification (I8)
|
99% |
248
46.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
165
2.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
188
3.13 IPS |
|
|
Image Segmentation (I8)
|
100% |
186
3.11 IPS |
|
|
Pose Estimation (F32)
|
100% |
1569
1.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
2340
2.83 IPS |
|
|
Pose Estimation (I8)
|
100% |
2320
2.81 IPS |
|
|
Object Detection (F32)
|
100% |
470
35.1 IPS |
|
|
Object Detection (F16)
|
100% |
454
33.9 IPS |
|
|
Object Detection (I8)
|
97% |
468
34.9 IPS |
|
|
Face Detection (F32)
|
100% |
1805
21.5 IPS |
|
|
Face Detection (F16)
|
98% |
2120
25.2 IPS |
|
|
Face Detection (I8)
|
97% |
2032
24.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
1741
13.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2649
20.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
2566
19.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4380
5.76 IPS |
|
|
Style Transfer (F16)
|
100% |
5382
7.08 IPS |
|
|
Style Transfer (I8)
|
100% |
5301
6.97 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
836
29.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1210
43.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1132
40.4 IPS |
|
|
Text Classification (F32)
|
100% |
167
240.1 IPS |
|
|
Text Classification (F16)
|
100% |
223
320.3 IPS |
|
|
Text Classification (I8)
|
96% |
216
310.0 IPS |
|
|
Machine Translation (F32)
|
100% |
146
2.69 IPS |
|
|
Machine Translation (F16)
|
100% |
146
2.69 IPS |
|
|
Machine Translation (I8)
|
99% |
148
2.73 IPS |
