iPhone X
Geekbench ML Score
634
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 19 2024 11:21 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.5 |
| 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% |
191
35.7 IPS |
|
|
Image Classification (F16)
|
100% |
165
30.9 IPS |
|
|
Image Classification (I8)
|
99% |
150
28.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
190
3.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
201
3.35 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
2345
2.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
2741
3.32 IPS |
|
|
Pose Estimation (I8)
|
100% |
2727
3.30 IPS |
|
|
Object Detection (F32)
|
100% |
295
22.0 IPS |
|
|
Object Detection (F16)
|
100% |
277
20.7 IPS |
|
|
Object Detection (I8)
|
97% |
293
21.9 IPS |
|
|
Face Detection (F32)
|
100% |
927
11.0 IPS |
|
|
Face Detection (F16)
|
100% |
1030
12.2 IPS |
|
|
Face Detection (I8)
|
99% |
939
11.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2355
18.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2628
20.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
2572
19.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4402
5.79 IPS |
|
|
Style Transfer (F16)
|
100% |
4932
6.49 IPS |
|
|
Style Transfer (I8)
|
100% |
5458
7.18 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1024
36.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1005
35.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1046
37.4 IPS |
|
|
Text Classification (F32)
|
100% |
54
77.2 IPS |
|
|
Text Classification (F16)
|
100% |
196
281.0 IPS |
|
|
Text Classification (I8)
|
96% |
196
281.5 IPS |
|
|
Machine Translation (F32)
|
100% |
311
5.72 IPS |
|
|
Machine Translation (F16)
|
100% |
239
4.40 IPS |
|
|
Machine Translation (I8)
|
99% |
283
5.20 IPS |
