iPhone XR
Geekbench ML Score
710
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 02:29 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPhone XR |
| Model ID | iPhone11,8 |
| Motherboard | N841AP |
| 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 | 2.77 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
353
66.1 IPS |
|
|
Image Classification (F16)
|
100% |
554
103.7 IPS |
|
|
Image Classification (I8)
|
99% |
545
102.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
237
3.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
285
4.76 IPS |
|
|
Image Segmentation (I8)
|
100% |
285
4.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
1007
1.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
1144
1.39 IPS |
|
|
Pose Estimation (I8)
|
100% |
1099
1.33 IPS |
|
|
Object Detection (F32)
|
100% |
349
26.0 IPS |
|
|
Object Detection (F16)
|
100% |
595
44.5 IPS |
|
|
Object Detection (I8)
|
97% |
344
25.7 IPS |
|
|
Face Detection (F32)
|
100% |
754
8.96 IPS |
|
|
Face Detection (F16)
|
97% |
1365
16.2 IPS |
|
|
Face Detection (I8)
|
96% |
1410
16.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
803
6.22 IPS |
|
|
Depth Estimation (F16)
|
100% |
1505
11.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
1536
11.9 IPS |
|
|
Style Transfer (F32)
|
100% |
2197
2.89 IPS |
|
|
Style Transfer (F16)
|
100% |
3994
5.25 IPS |
|
|
Style Transfer (I8)
|
100% |
4052
5.33 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
676
24.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
926
33.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
933
33.3 IPS |
|
|
Text Classification (F32)
|
100% |
261
374.6 IPS |
|
|
Text Classification (F16)
|
100% |
510
732.4 IPS |
|
|
Text Classification (I8)
|
96% |
516
741.6 IPS |
|
|
Machine Translation (F32)
|
100% |
330
6.07 IPS |
|
|
Machine Translation (F16)
|
100% |
466
8.58 IPS |
|
|
Machine Translation (I8)
|
99% |
328
6.04 IPS |
