iPhone X
Geekbench ML Score
595
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 27 2024 02:15 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.1 |
| 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% |
175
32.7 IPS |
|
|
Image Classification (F16)
|
100% |
150
28.1 IPS |
|
|
Image Classification (I8)
|
99% |
152
28.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
153
2.55 IPS |
|
|
Image Segmentation (F16)
|
100% |
164
2.74 IPS |
|
|
Image Segmentation (I8)
|
100% |
165
2.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
2284
2.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
2853
3.45 IPS |
|
|
Pose Estimation (I8)
|
100% |
2864
3.47 IPS |
|
|
Object Detection (F32)
|
100% |
378
28.2 IPS |
|
|
Object Detection (F16)
|
100% |
291
21.7 IPS |
|
|
Object Detection (I8)
|
97% |
249
18.6 IPS |
|
|
Face Detection (F32)
|
100% |
935
11.1 IPS |
|
|
Face Detection (F16)
|
100% |
900
10.7 IPS |
|
|
Face Detection (I8)
|
99% |
999
11.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2519
19.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2452
19.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
2773
21.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4613
6.07 IPS |
|
|
Style Transfer (F16)
|
100% |
5076
6.68 IPS |
|
|
Style Transfer (I8)
|
100% |
4842
6.37 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1051
37.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1067
38.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1099
39.3 IPS |
|
|
Text Classification (F32)
|
100% |
57
81.9 IPS |
|
|
Text Classification (F16)
|
100% |
137
196.7 IPS |
|
|
Text Classification (I8)
|
96% |
136
196.0 IPS |
|
|
Machine Translation (F32)
|
100% |
247
4.54 IPS |
|
|
Machine Translation (F16)
|
100% |
185
3.40 IPS |
|
|
Machine Translation (I8)
|
99% |
214
3.95 IPS |
