iPhone X
Geekbench ML Score
270
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 01 2024 07:18 PM |
| Views | 1 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
123
23.1 IPS |
|
|
Image Classification (F16)
|
100% |
116
21.7 IPS |
|
|
Image Classification (I8)
|
99% |
125
23.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
141
2.36 IPS |
|
|
Image Segmentation (F16)
|
100% |
140
2.34 IPS |
|
|
Image Segmentation (I8)
|
100% |
139
2.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
540
0.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
547
0.66 IPS |
|
|
Pose Estimation (I8)
|
100% |
544
0.66 IPS |
|
|
Object Detection (F32)
|
100% |
161
12.1 IPS |
|
|
Object Detection (F16)
|
100% |
153
11.5 IPS |
|
|
Object Detection (I8)
|
97% |
164
12.2 IPS |
|
|
Face Detection (F32)
|
100% |
360
4.28 IPS |
|
|
Face Detection (F16)
|
100% |
356
4.23 IPS |
|
|
Face Detection (I8)
|
99% |
354
4.21 IPS |
|
|
Depth Estimation (F32)
|
100% |
386
2.99 IPS |
|
|
Depth Estimation (F16)
|
100% |
378
2.93 IPS |
|
|
Depth Estimation (I8)
|
99% |
367
2.85 IPS |
|
|
Style Transfer (F32)
|
100% |
959
1.26 IPS |
|
|
Style Transfer (F16)
|
100% |
962
1.27 IPS |
|
|
Style Transfer (I8)
|
100% |
956
1.26 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
378
13.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
372
13.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
374
13.4 IPS |
|
|
Text Classification (F32)
|
100% |
142
204.7 IPS |
|
|
Text Classification (F16)
|
100% |
147
211.1 IPS |
|
|
Text Classification (I8)
|
96% |
148
212.7 IPS |
|
|
Machine Translation (F32)
|
100% |
243
4.47 IPS |
|
|
Machine Translation (F16)
|
100% |
186
3.43 IPS |
|
|
Machine Translation (I8)
|
99% |
176
3.24 IPS |
