iPhone X
Geekbench ML Score
629
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 16 2024 11:21 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.4 |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
177
33.2 IPS |
|
|
Image Classification (F16)
|
100% |
156
29.2 IPS |
|
|
Image Classification (I8)
|
99% |
155
29.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.34 IPS |
|
|
Image Segmentation (I8)
|
100% |
197
3.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
2377
2.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
2889
3.50 IPS |
|
|
Pose Estimation (I8)
|
100% |
2861
3.46 IPS |
|
|
Object Detection (F32)
|
100% |
273
20.4 IPS |
|
|
Object Detection (F16)
|
100% |
285
21.3 IPS |
|
|
Object Detection (I8)
|
97% |
273
20.4 IPS |
|
|
Face Detection (F32)
|
100% |
919
10.9 IPS |
|
|
Face Detection (F16)
|
100% |
898
10.7 IPS |
|
|
Face Detection (I8)
|
99% |
776
9.22 IPS |
|
|
Depth Estimation (F32)
|
100% |
2472
19.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2818
21.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
2724
21.1 IPS |
|
|
Style Transfer (F32)
|
100% |
4380
5.76 IPS |
|
|
Style Transfer (F16)
|
100% |
4315
5.68 IPS |
|
|
Style Transfer (I8)
|
100% |
4440
5.84 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1208
43.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1229
43.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1044
37.3 IPS |
|
|
Text Classification (F32)
|
100% |
60
86.0 IPS |
|
|
Text Classification (F16)
|
100% |
181
260.1 IPS |
|
|
Text Classification (I8)
|
96% |
189
271.7 IPS |
|
|
Machine Translation (F32)
|
100% |
306
5.63 IPS |
|
|
Machine Translation (F16)
|
100% |
240
4.43 IPS |
|
|
Machine Translation (I8)
|
99% |
305
5.62 IPS |
