iPhone XS
Geekbench ML Score
400
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 09 2024 09:35 PM |
| Views | 1 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
259
48.5 IPS |
|
|
Image Classification (F16)
|
100% |
232
43.4 IPS |
|
|
Image Classification (I8)
|
99% |
231
43.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
212
3.55 IPS |
|
|
Image Segmentation (F16)
|
100% |
207
3.45 IPS |
|
|
Image Segmentation (I8)
|
100% |
207
3.46 IPS |
|
|
Pose Estimation (F32)
|
100% |
930
1.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
846
1.02 IPS |
|
|
Pose Estimation (I8)
|
100% |
850
1.03 IPS |
|
|
Object Detection (F32)
|
100% |
250
18.7 IPS |
|
|
Object Detection (F16)
|
100% |
227
17.0 IPS |
|
|
Object Detection (I8)
|
97% |
250
18.7 IPS |
|
|
Face Detection (F32)
|
100% |
534
6.34 IPS |
|
|
Face Detection (F16)
|
100% |
517
6.15 IPS |
|
|
Face Detection (I8)
|
99% |
499
5.93 IPS |
|
|
Depth Estimation (F32)
|
100% |
565
4.38 IPS |
|
|
Depth Estimation (F16)
|
100% |
548
4.25 IPS |
|
|
Depth Estimation (I8)
|
99% |
544
4.22 IPS |
|
|
Style Transfer (F32)
|
100% |
1342
1.77 IPS |
|
|
Style Transfer (F16)
|
100% |
1367
1.80 IPS |
|
|
Style Transfer (I8)
|
100% |
1350
1.78 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
445
15.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
420
15.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
418
14.9 IPS |
|
|
Text Classification (F32)
|
100% |
211
302.7 IPS |
|
|
Text Classification (F16)
|
100% |
244
350.8 IPS |
|
|
Text Classification (I8)
|
96% |
251
361.2 IPS |
|
|
Machine Translation (F32)
|
100% |
284
5.22 IPS |
|
|
Machine Translation (F16)
|
100% |
226
4.16 IPS |
|
|
Machine Translation (I8)
|
99% |
260
4.78 IPS |
