iPhone SE (2nd generation)
Geekbench ML Score
932
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 03 2024 02:03 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
276
51.6 IPS |
|
|
Image Classification (F16)
|
100% |
341
63.7 IPS |
|
|
Image Classification (I8)
|
99% |
336
62.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
202
3.38 IPS |
|
|
Image Segmentation (F16)
|
100% |
215
3.59 IPS |
|
|
Image Segmentation (I8)
|
100% |
206
3.44 IPS |
|
|
Pose Estimation (F32)
|
100% |
2256
2.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
3078
3.73 IPS |
|
|
Pose Estimation (I8)
|
100% |
2904
3.52 IPS |
|
|
Object Detection (F32)
|
100% |
497
37.1 IPS |
|
|
Object Detection (F16)
|
100% |
556
41.5 IPS |
|
|
Object Detection (I8)
|
97% |
518
38.7 IPS |
|
|
Face Detection (F32)
|
100% |
2437
29.0 IPS |
|
|
Face Detection (F16)
|
98% |
3136
37.3 IPS |
|
|
Face Detection (I8)
|
97% |
3146
37.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2515
19.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
3580
27.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
3501
27.2 IPS |
|
|
Style Transfer (F32)
|
100% |
5910
7.77 IPS |
|
|
Style Transfer (F16)
|
100% |
8530
11.2 IPS |
|
|
Style Transfer (I8)
|
100% |
8191
10.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1316
47.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1429
51.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1383
49.4 IPS |
|
|
Text Classification (F32)
|
100% |
229
328.9 IPS |
|
|
Text Classification (F16)
|
100% |
296
425.0 IPS |
|
|
Text Classification (I8)
|
96% |
300
431.1 IPS |
|
|
Machine Translation (F32)
|
100% |
219
4.03 IPS |
|
|
Machine Translation (F16)
|
100% |
197
3.62 IPS |
|
|
Machine Translation (I8)
|
99% |
213
3.92 IPS |
