iPhone XS
Geekbench ML Score
745
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 11 2024 07:33 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
379
70.9 IPS |
|
|
Image Classification (F16)
|
100% |
660
123.4 IPS |
|
|
Image Classification (I8)
|
99% |
653
122.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
249
4.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
364
6.08 IPS |
|
|
Image Segmentation (I8)
|
100% |
364
6.08 IPS |
|
|
Pose Estimation (F32)
|
100% |
792
0.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
619
0.75 IPS |
|
|
Pose Estimation (I8)
|
100% |
883
1.07 IPS |
|
|
Object Detection (F32)
|
100% |
374
27.9 IPS |
|
|
Object Detection (F16)
|
100% |
690
51.5 IPS |
|
|
Object Detection (I8)
|
97% |
374
27.9 IPS |
|
|
Face Detection (F32)
|
100% |
846
10.1 IPS |
|
|
Face Detection (F16)
|
97% |
1745
20.8 IPS |
|
|
Face Detection (I8)
|
96% |
1747
20.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
972
7.53 IPS |
|
|
Depth Estimation (F16)
|
100% |
1719
13.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
1764
13.7 IPS |
|
|
Style Transfer (F32)
|
100% |
2265
2.98 IPS |
|
|
Style Transfer (F16)
|
100% |
4083
5.37 IPS |
|
|
Style Transfer (I8)
|
100% |
3970
5.22 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
744
26.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
917
32.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
910
32.5 IPS |
|
|
Text Classification (F32)
|
100% |
267
383.6 IPS |
|
|
Text Classification (F16)
|
100% |
520
747.3 IPS |
|
|
Text Classification (I8)
|
96% |
521
748.2 IPS |
|
|
Machine Translation (F32)
|
100% |
372
6.85 IPS |
|
|
Machine Translation (F16)
|
100% |
481
8.84 IPS |
|
|
Machine Translation (I8)
|
99% |
295
5.43 IPS |
