iPhone X
Geekbench ML Score
634
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 19 2024 11:16 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
188
35.3 IPS |
|
|
Image Classification (F16)
|
100% |
151
28.2 IPS |
|
|
Image Classification (I8)
|
99% |
149
27.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
190
3.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
202
3.37 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
2124
2.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
2624
3.18 IPS |
|
|
Pose Estimation (I8)
|
100% |
2577
3.12 IPS |
|
|
Object Detection (F32)
|
100% |
261
19.5 IPS |
|
|
Object Detection (F16)
|
100% |
356
26.6 IPS |
|
|
Object Detection (I8)
|
97% |
297
22.2 IPS |
|
|
Face Detection (F32)
|
100% |
932
11.1 IPS |
|
|
Face Detection (F16)
|
100% |
940
11.2 IPS |
|
|
Face Detection (I8)
|
99% |
984
11.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2424
18.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2716
21.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
2558
19.8 IPS |
|
|
Style Transfer (F32)
|
100% |
4715
6.20 IPS |
|
|
Style Transfer (F16)
|
100% |
5001
6.58 IPS |
|
|
Style Transfer (I8)
|
100% |
4956
6.52 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1186
42.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1101
39.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1191
42.5 IPS |
|
|
Text Classification (F32)
|
100% |
60
86.5 IPS |
|
|
Text Classification (F16)
|
100% |
198
283.9 IPS |
|
|
Text Classification (I8)
|
96% |
195
280.6 IPS |
|
|
Machine Translation (F32)
|
100% |
296
5.44 IPS |
|
|
Machine Translation (F16)
|
100% |
199
3.66 IPS |
|
|
Machine Translation (I8)
|
99% |
253
4.65 IPS |
