iPhone X
Geekbench ML Score
655
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 21 2024 03:05 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPhone X |
| Model ID | iPhone10,6 |
| Motherboard | D221AP |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
174
32.5 IPS |
|
|
Image Classification (F16)
|
100% |
147
27.5 IPS |
|
|
Image Classification (I8)
|
99% |
147
27.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
2356
2.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
2812
3.41 IPS |
|
|
Pose Estimation (I8)
|
100% |
2810
3.40 IPS |
|
|
Object Detection (F32)
|
100% |
301
22.5 IPS |
|
|
Object Detection (F16)
|
100% |
272
20.3 IPS |
|
|
Object Detection (I8)
|
97% |
366
27.3 IPS |
|
|
Face Detection (F32)
|
100% |
1076
12.8 IPS |
|
|
Face Detection (F16)
|
100% |
928
11.0 IPS |
|
|
Face Detection (I8)
|
99% |
991
11.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2662
20.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2998
23.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
2874
22.3 IPS |
|
|
Style Transfer (F32)
|
100% |
4788
6.30 IPS |
|
|
Style Transfer (F16)
|
100% |
5331
7.01 IPS |
|
|
Style Transfer (I8)
|
100% |
5807
7.64 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1125
40.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1084
38.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1128
40.3 IPS |
|
|
Text Classification (F32)
|
100% |
60
86.2 IPS |
|
|
Text Classification (F16)
|
100% |
196
281.1 IPS |
|
|
Text Classification (I8)
|
96% |
199
285.9 IPS |
|
|
Machine Translation (F32)
|
100% |
268
4.93 IPS |
|
|
Machine Translation (F16)
|
100% |
222
4.09 IPS |
|
|
Machine Translation (I8)
|
99% |
310
5.71 IPS |
