iPhone X
Geekbench ML Score
367
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 23 2024 02:10 AM |
| Views | 1 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
235
44.0 IPS |
|
|
Image Classification (F16)
|
100% |
193
36.1 IPS |
|
|
Image Classification (I8)
|
99% |
194
36.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
182
3.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
195
3.26 IPS |
|
|
Image Segmentation (I8)
|
100% |
195
3.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
1039
1.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
877
1.06 IPS |
|
|
Pose Estimation (I8)
|
100% |
869
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
185
13.8 IPS |
|
|
Object Detection (F16)
|
100% |
191
14.2 IPS |
|
|
Object Detection (I8)
|
97% |
229
17.1 IPS |
|
|
Face Detection (F32)
|
100% |
443
5.27 IPS |
|
|
Face Detection (F16)
|
100% |
433
5.14 IPS |
|
|
Face Detection (I8)
|
99% |
438
5.20 IPS |
|
|
Depth Estimation (F32)
|
100% |
552
4.28 IPS |
|
|
Depth Estimation (F16)
|
100% |
443
3.43 IPS |
|
|
Depth Estimation (I8)
|
99% |
426
3.30 IPS |
|
|
Style Transfer (F32)
|
100% |
1368
1.80 IPS |
|
|
Style Transfer (F16)
|
100% |
1370
1.80 IPS |
|
|
Style Transfer (I8)
|
100% |
1055
1.39 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
423
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
419
15.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
508
18.1 IPS |
|
|
Text Classification (F32)
|
100% |
205
295.3 IPS |
|
|
Text Classification (F16)
|
100% |
202
290.0 IPS |
|
|
Text Classification (I8)
|
96% |
205
294.4 IPS |
|
|
Machine Translation (F32)
|
100% |
300
5.53 IPS |
|
|
Machine Translation (F16)
|
100% |
219
4.02 IPS |
|
|
Machine Translation (I8)
|
99% |
268
4.93 IPS |
