iPhone XR
Geekbench ML Score
1224
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 11:51 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
208
38.9 IPS |
|
|
Image Classification (F16)
|
100% |
2045
382.7 IPS |
|
|
Image Classification (I8)
|
99% |
2058
385.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
216
3.60 IPS |
|
|
Image Segmentation (F16)
|
100% |
383
6.39 IPS |
|
|
Image Segmentation (I8)
|
100% |
381
6.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
1724
2.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
25660
31.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
24487
29.7 IPS |
|
|
Object Detection (F32)
|
100% |
464
34.6 IPS |
|
|
Object Detection (F16)
|
100% |
371
27.7 IPS |
|
|
Object Detection (I8)
|
97% |
462
34.5 IPS |
|
|
Face Detection (F32)
|
100% |
1836
21.8 IPS |
|
|
Face Detection (F16)
|
97% |
1881
22.4 IPS |
|
|
Face Detection (I8)
|
96% |
1924
22.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
1550
12.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
17120
132.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
14151
109.7 IPS |
|
|
Style Transfer (F32)
|
24% |
4110
5.41 IPS |
|
|
Style Transfer (F16)
|
30% |
4945
6.51 IPS |
|
|
Style Transfer (I8)
|
30% |
4887
6.43 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
859
30.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3513
125.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3537
126.3 IPS |
|
|
Text Classification (F32)
|
100% |
168
241.5 IPS |
|
|
Text Classification (F16)
|
100% |
211
303.6 IPS |
|
|
Text Classification (I8)
|
96% |
210
302.4 IPS |
|
|
Machine Translation (F32)
|
100% |
205
3.77 IPS |
|
|
Machine Translation (F16)
|
100% |
214
3.95 IPS |
|
|
Machine Translation (I8)
|
99% |
211
3.89 IPS |
