iPhone SE (2nd generation)
Geekbench ML Score
943
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 19 2024 09:39 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone SE (2nd generation) |
| Model ID | iPhone12,8 |
| Motherboard | D79AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.89 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
327
61.2 IPS |
|
|
Image Classification (F16)
|
100% |
556
104.1 IPS |
|
|
Image Classification (I8)
|
99% |
553
103.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
207
3.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
234
3.91 IPS |
|
|
Image Segmentation (I8)
|
100% |
218
3.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
1533
1.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
3216
3.89 IPS |
|
|
Pose Estimation (I8)
|
100% |
3301
4.00 IPS |
|
|
Object Detection (F32)
|
100% |
332
24.8 IPS |
|
|
Object Detection (F16)
|
100% |
601
44.9 IPS |
|
|
Object Detection (I8)
|
97% |
378
28.3 IPS |
|
|
Face Detection (F32)
|
100% |
689
8.19 IPS |
|
|
Face Detection (F16)
|
97% |
1272
15.1 IPS |
|
|
Face Detection (I8)
|
97% |
1262
15.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1327
10.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2726
21.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
2487
19.3 IPS |
|
|
Style Transfer (F32)
|
100% |
3693
4.86 IPS |
|
|
Style Transfer (F16)
|
100% |
6410
8.43 IPS |
|
|
Style Transfer (I8)
|
100% |
6336
8.33 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1103
39.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1505
53.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1607
57.4 IPS |
|
|
Text Classification (F32)
|
100% |
739
1.06 KIPS |
|
|
Text Classification (F16)
|
100% |
1396
2.01 KIPS |
|
|
Text Classification (I8)
|
96% |
1221
1.76 KIPS |
|
|
Machine Translation (F32)
|
100% |
159
2.92 IPS |
|
|
Machine Translation (F16)
|
100% |
461
8.48 IPS |
|
|
Machine Translation (I8)
|
99% |
369
6.79 IPS |
