iPhone X
Geekbench ML Score
642
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 17 2025 12:37 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| 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% |
184
34.4 IPS |
|
|
Image Classification (F16)
|
100% |
157
29.4 IPS |
|
|
Image Classification (I8)
|
99% |
160
29.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
201
3.36 IPS |
|
|
Image Segmentation (I8)
|
100% |
201
3.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
2320
2.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
2915
3.53 IPS |
|
|
Pose Estimation (I8)
|
100% |
2810
3.40 IPS |
|
|
Object Detection (F32)
|
100% |
298
22.3 IPS |
|
|
Object Detection (F16)
|
100% |
286
21.3 IPS |
|
|
Object Detection (I8)
|
97% |
322
24.0 IPS |
|
|
Face Detection (F32)
|
100% |
931
11.1 IPS |
|
|
Face Detection (F16)
|
100% |
970
11.5 IPS |
|
|
Face Detection (I8)
|
99% |
964
11.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2350
18.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2542
19.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
2927
22.7 IPS |
|
|
Style Transfer (F32)
|
100% |
4602
6.05 IPS |
|
|
Style Transfer (F16)
|
100% |
4771
6.28 IPS |
|
|
Style Transfer (I8)
|
100% |
4626
6.09 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1081
38.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1151
41.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1032
36.9 IPS |
|
|
Text Classification (F32)
|
100% |
56
81.1 IPS |
|
|
Text Classification (F16)
|
100% |
200
287.3 IPS |
|
|
Text Classification (I8)
|
96% |
200
287.7 IPS |
|
|
Machine Translation (F32)
|
100% |
295
5.43 IPS |
|
|
Machine Translation (F16)
|
100% |
234
4.31 IPS |
|
|
Machine Translation (I8)
|
99% |
307
5.65 IPS |
