iPhone XS
Geekbench ML Score
1242
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 19 2024 03:46 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3.1 |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
220
41.1 IPS |
|
|
Image Classification (F16)
|
100% |
2009
376.0 IPS |
|
|
Image Classification (I8)
|
99% |
1990
372.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
215
3.59 IPS |
|
|
Image Segmentation (F16)
|
100% |
389
6.49 IPS |
|
|
Image Segmentation (I8)
|
100% |
388
6.47 IPS |
|
|
Pose Estimation (F32)
|
100% |
1746
2.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
23184
28.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
24072
29.1 IPS |
|
|
Object Detection (F32)
|
100% |
436
32.6 IPS |
|
|
Object Detection (F16)
|
100% |
444
33.1 IPS |
|
|
Object Detection (I8)
|
97% |
396
29.5 IPS |
|
|
Face Detection (F32)
|
100% |
1936
23.0 IPS |
|
|
Face Detection (F16)
|
97% |
2220
26.4 IPS |
|
|
Face Detection (I8)
|
96% |
2166
25.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
1862
14.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
18684
144.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
17707
137.3 IPS |
|
|
Style Transfer (F32)
|
24% |
4726
6.22 IPS |
|
|
Style Transfer (F16)
|
30% |
5540
7.29 IPS |
|
|
Style Transfer (I8)
|
30% |
4943
6.50 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
743
26.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3230
115.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3213
114.7 IPS |
|
|
Text Classification (F32)
|
100% |
168
241.0 IPS |
|
|
Text Classification (F16)
|
100% |
206
295.4 IPS |
|
|
Text Classification (I8)
|
96% |
209
299.7 IPS |
|
|
Machine Translation (F32)
|
100% |
196
3.60 IPS |
|
|
Machine Translation (F16)
|
100% |
204
3.75 IPS |
|
|
Machine Translation (I8)
|
99% |
193
3.54 IPS |
