iPhone X
Geekbench ML Score
647
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 25 2025 10:26 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.8 |
| 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% |
187
34.9 IPS |
|
|
Image Classification (F16)
|
100% |
151
28.2 IPS |
|
|
Image Classification (I8)
|
99% |
148
27.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
201
3.35 IPS |
|
|
Image Segmentation (I8)
|
100% |
201
3.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
2324
2.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
2783
3.37 IPS |
|
|
Pose Estimation (I8)
|
100% |
2814
3.41 IPS |
|
|
Object Detection (F32)
|
100% |
281
21.0 IPS |
|
|
Object Detection (F16)
|
100% |
354
26.4 IPS |
|
|
Object Detection (I8)
|
97% |
350
26.1 IPS |
|
|
Face Detection (F32)
|
100% |
1032
12.3 IPS |
|
|
Face Detection (F16)
|
100% |
912
10.8 IPS |
|
|
Face Detection (I8)
|
99% |
1002
11.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2420
18.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2625
20.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
2503
19.4 IPS |
|
|
Style Transfer (F32)
|
100% |
4548
5.98 IPS |
|
|
Style Transfer (F16)
|
100% |
5077
6.68 IPS |
|
|
Style Transfer (I8)
|
100% |
4995
6.57 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1001
35.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1070
38.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1223
43.7 IPS |
|
|
Text Classification (F32)
|
100% |
55
79.2 IPS |
|
|
Text Classification (F16)
|
100% |
199
286.7 IPS |
|
|
Text Classification (I8)
|
96% |
195
279.6 IPS |
|
|
Machine Translation (F32)
|
100% |
288
5.31 IPS |
|
|
Machine Translation (F16)
|
100% |
249
4.58 IPS |
|
|
Machine Translation (I8)
|
99% |
317
5.84 IPS |
