iPhone X
Geekbench ML Score
605
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 23 2024 11:33 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.4 |
| 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% |
180
33.7 IPS |
|
|
Image Classification (F16)
|
100% |
190
35.5 IPS |
|
|
Image Classification (I8)
|
99% |
176
32.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
160
2.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
168
2.81 IPS |
|
|
Image Segmentation (I8)
|
100% |
168
2.81 IPS |
|
|
Pose Estimation (F32)
|
100% |
2192
2.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
2795
3.39 IPS |
|
|
Pose Estimation (I8)
|
100% |
2766
3.35 IPS |
|
|
Object Detection (F32)
|
100% |
333
24.9 IPS |
|
|
Object Detection (F16)
|
100% |
308
23.0 IPS |
|
|
Object Detection (I8)
|
97% |
295
22.0 IPS |
|
|
Face Detection (F32)
|
100% |
972
11.6 IPS |
|
|
Face Detection (F16)
|
100% |
908
10.8 IPS |
|
|
Face Detection (I8)
|
99% |
1010
12.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2310
17.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2449
19.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
2438
18.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4746
6.24 IPS |
|
|
Style Transfer (F16)
|
100% |
5701
7.50 IPS |
|
|
Style Transfer (I8)
|
100% |
4829
6.35 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1008
36.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1036
37.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1154
41.2 IPS |
|
|
Text Classification (F32)
|
100% |
51
73.4 IPS |
|
|
Text Classification (F16)
|
100% |
140
201.0 IPS |
|
|
Text Classification (I8)
|
96% |
138
198.1 IPS |
|
|
Machine Translation (F32)
|
100% |
245
4.51 IPS |
|
|
Machine Translation (F16)
|
100% |
185
3.41 IPS |
|
|
Machine Translation (I8)
|
99% |
247
4.54 IPS |
