iPhone XR
Geekbench ML Score
753
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 11:55 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
209
39.2 IPS |
|
|
Image Classification (F16)
|
100% |
263
49.1 IPS |
|
|
Image Classification (I8)
|
99% |
240
44.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
213
3.56 IPS |
|
|
Image Segmentation (F16)
|
100% |
248
4.15 IPS |
|
|
Image Segmentation (I8)
|
100% |
246
4.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
1750
2.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
2364
2.86 IPS |
|
|
Pose Estimation (I8)
|
100% |
2328
2.82 IPS |
|
|
Object Detection (F32)
|
100% |
430
32.1 IPS |
|
|
Object Detection (F16)
|
100% |
375
28.0 IPS |
|
|
Object Detection (I8)
|
97% |
493
36.8 IPS |
|
|
Face Detection (F32)
|
100% |
1954
23.2 IPS |
|
|
Face Detection (F16)
|
97% |
2247
26.7 IPS |
|
|
Face Detection (I8)
|
96% |
2160
25.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
1843
14.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2510
19.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
2571
19.9 IPS |
|
|
Style Transfer (F32)
|
24% |
4645
6.11 IPS |
|
|
Style Transfer (F16)
|
30% |
6369
8.38 IPS |
|
|
Style Transfer (I8)
|
30% |
6404
8.42 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
878
31.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1101
39.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1125
40.2 IPS |
|
|
Text Classification (F32)
|
100% |
171
246.4 IPS |
|
|
Text Classification (F16)
|
100% |
211
303.4 IPS |
|
|
Text Classification (I8)
|
96% |
214
307.1 IPS |
|
|
Machine Translation (F32)
|
100% |
200
3.67 IPS |
|
|
Machine Translation (F16)
|
100% |
222
4.09 IPS |
|
|
Machine Translation (I8)
|
99% |
197
3.62 IPS |
