iPhone X
Geekbench ML Score
635
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 12 2024 03:07 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPhone X |
| Model ID | iPhone10,3 |
| Motherboard | D22AP |
| CPU Information | |
|---|---|
| Name | Apple A11 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.39 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 | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.76 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
192
35.9 IPS |
|
|
Image Classification (F16)
|
100% |
147
27.5 IPS |
|
|
Image Classification (I8)
|
99% |
146
27.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
2308
2.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
2771
3.36 IPS |
|
|
Pose Estimation (I8)
|
100% |
2681
3.25 IPS |
|
|
Object Detection (F32)
|
100% |
269
20.1 IPS |
|
|
Object Detection (F16)
|
100% |
281
21.0 IPS |
|
|
Object Detection (I8)
|
97% |
338
25.3 IPS |
|
|
Face Detection (F32)
|
100% |
949
11.3 IPS |
|
|
Face Detection (F16)
|
100% |
1033
12.3 IPS |
|
|
Face Detection (I8)
|
99% |
1009
12.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2542
19.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2747
21.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
2921
22.7 IPS |
|
|
Style Transfer (F32)
|
100% |
5665
7.45 IPS |
|
|
Style Transfer (F16)
|
100% |
4752
6.25 IPS |
|
|
Style Transfer (I8)
|
100% |
4294
5.65 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1166
41.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1243
44.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1007
36.0 IPS |
|
|
Text Classification (F32)
|
100% |
58
82.9 IPS |
|
|
Text Classification (F16)
|
100% |
193
277.7 IPS |
|
|
Text Classification (I8)
|
96% |
199
285.6 IPS |
|
|
Machine Translation (F32)
|
100% |
255
4.70 IPS |
|
|
Machine Translation (F16)
|
100% |
229
4.21 IPS |
|
|
Machine Translation (I8)
|
99% |
210
3.86 IPS |
