iPhone X
Geekbench ML Score
619
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 11 2025 02:32 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| 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% |
180
33.6 IPS |
|
|
Image Classification (F16)
|
100% |
153
28.7 IPS |
|
|
Image Classification (I8)
|
99% |
166
31.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.34 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
2351
2.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
2704
3.27 IPS |
|
|
Pose Estimation (I8)
|
100% |
2748
3.33 IPS |
|
|
Object Detection (F32)
|
100% |
269
20.1 IPS |
|
|
Object Detection (F16)
|
100% |
280
20.9 IPS |
|
|
Object Detection (I8)
|
97% |
281
21.0 IPS |
|
|
Face Detection (F32)
|
100% |
920
10.9 IPS |
|
|
Face Detection (F16)
|
100% |
966
11.5 IPS |
|
|
Face Detection (I8)
|
99% |
957
11.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2250
17.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2588
20.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
2505
19.4 IPS |
|
|
Style Transfer (F32)
|
100% |
4537
5.97 IPS |
|
|
Style Transfer (F16)
|
100% |
4880
6.42 IPS |
|
|
Style Transfer (I8)
|
100% |
4735
6.23 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1192
42.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1100
39.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1112
39.7 IPS |
|
|
Text Classification (F32)
|
100% |
52
75.3 IPS |
|
|
Text Classification (F16)
|
100% |
195
280.4 IPS |
|
|
Text Classification (I8)
|
96% |
194
278.1 IPS |
|
|
Machine Translation (F32)
|
100% |
288
5.31 IPS |
|
|
Machine Translation (F16)
|
100% |
177
3.25 IPS |
|
|
Machine Translation (I8)
|
99% |
237
4.36 IPS |
