iPhone XS
Geekbench ML Score
479
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 26 2024 09:05 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.2 |
| 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% |
273
51.0 IPS |
|
|
Image Classification (F16)
|
100% |
246
46.0 IPS |
|
|
Image Classification (I8)
|
99% |
243
45.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
241
4.02 IPS |
|
|
Image Segmentation (F16)
|
100% |
234
3.92 IPS |
|
|
Image Segmentation (I8)
|
100% |
236
3.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
942
1.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
1002
1.21 IPS |
|
|
Pose Estimation (I8)
|
100% |
932
1.13 IPS |
|
|
Object Detection (F32)
|
100% |
302
22.6 IPS |
|
|
Object Detection (F16)
|
100% |
281
21.0 IPS |
|
|
Object Detection (I8)
|
97% |
302
22.6 IPS |
|
|
Face Detection (F32)
|
100% |
621
7.39 IPS |
|
|
Face Detection (F16)
|
100% |
581
6.91 IPS |
|
|
Face Detection (I8)
|
99% |
594
7.06 IPS |
|
|
Depth Estimation (F32)
|
100% |
683
5.30 IPS |
|
|
Depth Estimation (F16)
|
100% |
677
5.25 IPS |
|
|
Depth Estimation (I8)
|
99% |
646
5.01 IPS |
|
|
Style Transfer (F32)
|
100% |
1505
1.98 IPS |
|
|
Style Transfer (F16)
|
100% |
1517
2.00 IPS |
|
|
Style Transfer (I8)
|
100% |
1556
2.05 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
647
23.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
606
21.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
643
23.0 IPS |
|
|
Text Classification (F32)
|
100% |
258
370.9 IPS |
|
|
Text Classification (F16)
|
100% |
321
460.7 IPS |
|
|
Text Classification (I8)
|
96% |
314
450.9 IPS |
|
|
Machine Translation (F32)
|
100% |
367
6.76 IPS |
|
|
Machine Translation (F16)
|
100% |
280
5.14 IPS |
|
|
Machine Translation (I8)
|
99% |
349
6.43 IPS |
