iPhone X
Geekbench ML Score
566
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 18 2024 10:25 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
177
33.2 IPS |
|
|
Image Classification (F16)
|
100% |
200
37.4 IPS |
|
|
Image Classification (I8)
|
99% |
147
27.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
201
3.36 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
1276
1.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
1398
1.69 IPS |
|
|
Pose Estimation (I8)
|
100% |
1387
1.68 IPS |
|
|
Object Detection (F32)
|
100% |
304
22.7 IPS |
|
|
Object Detection (F16)
|
100% |
276
20.6 IPS |
|
|
Object Detection (I8)
|
97% |
291
21.7 IPS |
|
|
Face Detection (F32)
|
100% |
997
11.9 IPS |
|
|
Face Detection (F16)
|
100% |
978
11.6 IPS |
|
|
Face Detection (I8)
|
99% |
887
10.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2153
16.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2708
21.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
2523
19.6 IPS |
|
|
Style Transfer (F32)
|
100% |
3545
4.66 IPS |
|
|
Style Transfer (F16)
|
100% |
4240
5.58 IPS |
|
|
Style Transfer (I8)
|
100% |
4064
5.35 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1060
37.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
969
34.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1104
39.4 IPS |
|
|
Text Classification (F32)
|
100% |
64
92.6 IPS |
|
|
Text Classification (F16)
|
100% |
175
251.8 IPS |
|
|
Text Classification (I8)
|
96% |
194
279.2 IPS |
|
|
Machine Translation (F32)
|
100% |
256
4.72 IPS |
|
|
Machine Translation (F16)
|
100% |
154
2.84 IPS |
|
|
Machine Translation (I8)
|
99% |
218
4.01 IPS |
