iPhone XR
Geekbench ML Score
1137
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 06:08 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
191
35.7 IPS |
|
|
Image Classification (F16)
|
100% |
1980
370.5 IPS |
|
|
Image Classification (I8)
|
99% |
1971
368.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
166
2.78 IPS |
|
|
Image Segmentation (F16)
|
100% |
257
4.30 IPS |
|
|
Image Segmentation (I8)
|
100% |
257
4.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
1568
1.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
22591
27.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
22552
27.3 IPS |
|
|
Object Detection (F32)
|
100% |
364
27.2 IPS |
|
|
Object Detection (F16)
|
100% |
490
36.6 IPS |
|
|
Object Detection (I8)
|
97% |
334
25.0 IPS |
|
|
Face Detection (F32)
|
100% |
1748
20.8 IPS |
|
|
Face Detection (F16)
|
98% |
2160
25.7 IPS |
|
|
Face Detection (I8)
|
97% |
2188
26.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1743
13.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17361
134.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
17558
136.2 IPS |
|
|
Style Transfer (F32)
|
100% |
4415
5.81 IPS |
|
|
Style Transfer (F16)
|
100% |
5113
6.73 IPS |
|
|
Style Transfer (I8)
|
100% |
5282
6.95 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
943
33.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3544
126.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3503
125.1 IPS |
|
|
Text Classification (F32)
|
100% |
166
238.1 IPS |
|
|
Text Classification (F16)
|
100% |
203
291.2 IPS |
|
|
Text Classification (I8)
|
96% |
200
287.6 IPS |
|
|
Machine Translation (F32)
|
100% |
145
2.67 IPS |
|
|
Machine Translation (F16)
|
100% |
141
2.60 IPS |
|
|
Machine Translation (I8)
|
99% |
146
2.69 IPS |
