iPhone X
Geekbench ML Score
589
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 09 2025 07:01 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% |
199
37.3 IPS |
|
|
Image Classification (F16)
|
100% |
172
32.2 IPS |
|
|
Image Classification (I8)
|
99% |
172
32.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
185
3.08 IPS |
|
|
Image Segmentation (F16)
|
100% |
197
3.30 IPS |
|
|
Image Segmentation (I8)
|
100% |
198
3.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
1320
1.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
1630
1.97 IPS |
|
|
Pose Estimation (I8)
|
100% |
1614
1.95 IPS |
|
|
Object Detection (F32)
|
100% |
253
18.9 IPS |
|
|
Object Detection (F16)
|
100% |
256
19.1 IPS |
|
|
Object Detection (I8)
|
97% |
259
19.3 IPS |
|
|
Face Detection (F32)
|
100% |
855
10.2 IPS |
|
|
Face Detection (F16)
|
100% |
926
11.0 IPS |
|
|
Face Detection (I8)
|
99% |
873
10.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2066
16.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
2313
17.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
2351
18.2 IPS |
|
|
Style Transfer (F32)
|
100% |
4233
5.57 IPS |
|
|
Style Transfer (F16)
|
100% |
4996
6.57 IPS |
|
|
Style Transfer (I8)
|
100% |
4983
6.55 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1000
35.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1186
42.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1128
40.3 IPS |
|
|
Text Classification (F32)
|
100% |
62
88.9 IPS |
|
|
Text Classification (F16)
|
100% |
189
271.9 IPS |
|
|
Text Classification (I8)
|
96% |
188
270.7 IPS |
|
|
Machine Translation (F32)
|
100% |
303
5.58 IPS |
|
|
Machine Translation (F16)
|
100% |
239
4.40 IPS |
|
|
Machine Translation (I8)
|
99% |
305
5.61 IPS |
