iPhone X
Geekbench ML Score
625
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 23 2024 02:48 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.1 |
| 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
32.6 IPS |
|
|
Image Classification (F16)
|
100% |
146
27.2 IPS |
|
|
Image Classification (I8)
|
99% |
147
27.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
190
3.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
202
3.37 IPS |
|
|
Image Segmentation (I8)
|
100% |
203
3.40 IPS |
|
|
Pose Estimation (F32)
|
100% |
2345
2.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
2747
3.33 IPS |
|
|
Pose Estimation (I8)
|
100% |
2723
3.30 IPS |
|
|
Object Detection (F32)
|
100% |
277
20.7 IPS |
|
|
Object Detection (F16)
|
100% |
256
19.1 IPS |
|
|
Object Detection (I8)
|
97% |
275
20.5 IPS |
|
|
Face Detection (F32)
|
100% |
963
11.5 IPS |
|
|
Face Detection (F16)
|
100% |
953
11.3 IPS |
|
|
Face Detection (I8)
|
99% |
985
11.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2356
18.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2545
19.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
2401
18.6 IPS |
|
|
Style Transfer (F32)
|
100% |
4492
5.91 IPS |
|
|
Style Transfer (F16)
|
100% |
4971
6.54 IPS |
|
|
Style Transfer (I8)
|
100% |
5035
6.62 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1068
38.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
914
32.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1113
39.8 IPS |
|
|
Text Classification (F32)
|
100% |
51
73.5 IPS |
|
|
Text Classification (F16)
|
100% |
198
283.9 IPS |
|
|
Text Classification (I8)
|
96% |
194
278.6 IPS |
|
|
Machine Translation (F32)
|
100% |
315
5.80 IPS |
|
|
Machine Translation (F16)
|
100% |
248
4.56 IPS |
|
|
Machine Translation (I8)
|
99% |
315
5.80 IPS |
