iPhone X
Geekbench ML Score
638
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 18 2024 10:07 AM |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
200
37.4 IPS |
|
|
Image Classification (F16)
|
100% |
147
27.5 IPS |
|
|
Image Classification (I8)
|
99% |
147
27.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
201
3.36 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
2320
2.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
2746
3.33 IPS |
|
|
Pose Estimation (I8)
|
100% |
2671
3.23 IPS |
|
|
Object Detection (F32)
|
100% |
325
24.3 IPS |
|
|
Object Detection (F16)
|
100% |
306
22.9 IPS |
|
|
Object Detection (I8)
|
97% |
286
21.4 IPS |
|
|
Face Detection (F32)
|
100% |
983
11.7 IPS |
|
|
Face Detection (F16)
|
100% |
906
10.8 IPS |
|
|
Face Detection (I8)
|
99% |
962
11.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2464
19.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2457
19.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
2506
19.4 IPS |
|
|
Style Transfer (F32)
|
100% |
4796
6.31 IPS |
|
|
Style Transfer (F16)
|
100% |
4700
6.18 IPS |
|
|
Style Transfer (I8)
|
100% |
5004
6.58 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1115
39.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1095
39.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1076
38.4 IPS |
|
|
Text Classification (F32)
|
100% |
53
75.6 IPS |
|
|
Text Classification (F16)
|
100% |
199
285.3 IPS |
|
|
Text Classification (I8)
|
96% |
200
287.2 IPS |
|
|
Machine Translation (F32)
|
100% |
312
5.75 IPS |
|
|
Machine Translation (F16)
|
100% |
240
4.41 IPS |
|
|
Machine Translation (I8)
|
99% |
292
5.37 IPS |
