iPhone XS
Geekbench ML Score
520
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 12:45 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPhone XS |
| Model ID | iPhone11,2 |
| Motherboard | D321AP |
| 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 | 3.69 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
234
43.8 IPS |
|
|
Image Classification (F16)
|
100% |
419
78.3 IPS |
|
|
Image Classification (I8)
|
99% |
399
74.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
173
2.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
218
3.65 IPS |
|
|
Image Segmentation (I8)
|
100% |
216
3.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
687
0.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
874
1.06 IPS |
|
|
Pose Estimation (I8)
|
100% |
879
1.06 IPS |
|
|
Object Detection (F32)
|
100% |
238
17.8 IPS |
|
|
Object Detection (F16)
|
100% |
421
31.4 IPS |
|
|
Object Detection (I8)
|
97% |
236
17.6 IPS |
|
|
Face Detection (F32)
|
100% |
556
6.61 IPS |
|
|
Face Detection (F16)
|
97% |
1049
12.5 IPS |
|
|
Face Detection (I8)
|
96% |
1030
12.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
576
4.47 IPS |
|
|
Depth Estimation (F16)
|
100% |
1132
8.78 IPS |
|
|
Depth Estimation (I8)
|
99% |
1139
8.83 IPS |
|
|
Style Transfer (F32)
|
100% |
1696
2.23 IPS |
|
|
Style Transfer (F16)
|
100% |
2940
3.87 IPS |
|
|
Style Transfer (I8)
|
100% |
2946
3.88 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
452
16.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
633
22.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
600
21.4 IPS |
|
|
Text Classification (F32)
|
100% |
222
319.4 IPS |
|
|
Text Classification (F16)
|
100% |
437
628.7 IPS |
|
|
Text Classification (I8)
|
96% |
441
633.4 IPS |
|
|
Machine Translation (F32)
|
100% |
239
4.40 IPS |
|
|
Machine Translation (F16)
|
100% |
337
6.21 IPS |
|
|
Machine Translation (I8)
|
99% |
205
3.77 IPS |
