iPhone X
Geekbench ML Score
649
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 21 2024 03:17 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% |
178
33.4 IPS |
|
|
Image Classification (F16)
|
100% |
149
27.9 IPS |
|
|
Image Classification (I8)
|
99% |
148
27.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.31 IPS |
|
|
Image Segmentation (I8)
|
100% |
202
3.38 IPS |
|
|
Pose Estimation (F32)
|
100% |
2356
2.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
2725
3.30 IPS |
|
|
Pose Estimation (I8)
|
100% |
2720
3.29 IPS |
|
|
Object Detection (F32)
|
100% |
337
25.1 IPS |
|
|
Object Detection (F16)
|
100% |
297
22.2 IPS |
|
|
Object Detection (I8)
|
97% |
303
22.6 IPS |
|
|
Face Detection (F32)
|
100% |
1028
12.2 IPS |
|
|
Face Detection (F16)
|
100% |
1021
12.1 IPS |
|
|
Face Detection (I8)
|
99% |
967
11.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2530
19.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2644
20.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
2798
21.7 IPS |
|
|
Style Transfer (F32)
|
100% |
4230
5.56 IPS |
|
|
Style Transfer (F16)
|
100% |
5258
6.92 IPS |
|
|
Style Transfer (I8)
|
100% |
4784
6.29 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1194
42.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1261
45.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1070
38.2 IPS |
|
|
Text Classification (F32)
|
100% |
55
79.7 IPS |
|
|
Text Classification (F16)
|
100% |
193
278.0 IPS |
|
|
Text Classification (I8)
|
96% |
198
285.1 IPS |
|
|
Machine Translation (F32)
|
100% |
300
5.52 IPS |
|
|
Machine Translation (F16)
|
100% |
244
4.49 IPS |
|
|
Machine Translation (I8)
|
99% |
307
5.65 IPS |
