iPhone X
Geekbench ML Score
673
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 08:41 PM |
| Views | 3 |
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% |
205
38.3 IPS |
|
|
Image Classification (F16)
|
100% |
159
29.7 IPS |
|
|
Image Classification (I8)
|
99% |
165
30.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
184
3.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.31 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
2377
2.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
2878
3.49 IPS |
|
|
Pose Estimation (I8)
|
100% |
2877
3.48 IPS |
|
|
Object Detection (F32)
|
100% |
314
23.4 IPS |
|
|
Object Detection (F16)
|
100% |
365
27.2 IPS |
|
|
Object Detection (I8)
|
97% |
353
26.4 IPS |
|
|
Face Detection (F32)
|
100% |
946
11.2 IPS |
|
|
Face Detection (F16)
|
100% |
973
11.6 IPS |
|
|
Face Detection (I8)
|
99% |
1018
12.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2508
19.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2865
22.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
2860
22.2 IPS |
|
|
Style Transfer (F32)
|
100% |
5167
6.80 IPS |
|
|
Style Transfer (F16)
|
100% |
5236
6.89 IPS |
|
|
Style Transfer (I8)
|
100% |
4715
6.20 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1100
39.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1184
42.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1351
48.3 IPS |
|
|
Text Classification (F32)
|
100% |
54
78.2 IPS |
|
|
Text Classification (F16)
|
100% |
198
284.4 IPS |
|
|
Text Classification (I8)
|
96% |
202
289.9 IPS |
|
|
Machine Translation (F32)
|
100% |
313
5.76 IPS |
|
|
Machine Translation (F16)
|
100% |
248
4.56 IPS |
|
|
Machine Translation (I8)
|
99% |
313
5.76 IPS |
