iPhone X
Geekbench ML Score
393
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 11 2024 01:34 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% |
227
42.5 IPS |
|
|
Image Classification (F16)
|
100% |
213
39.8 IPS |
|
|
Image Classification (I8)
|
99% |
210
39.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
194
3.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
175
2.92 IPS |
|
|
Image Segmentation (I8)
|
100% |
173
2.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
939
1.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
865
1.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
867
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
186
13.9 IPS |
|
|
Object Detection (F16)
|
100% |
212
15.8 IPS |
|
|
Object Detection (I8)
|
97% |
228
17.0 IPS |
|
|
Face Detection (F32)
|
100% |
444
5.27 IPS |
|
|
Face Detection (F16)
|
100% |
439
5.21 IPS |
|
|
Face Detection (I8)
|
99% |
453
5.38 IPS |
|
|
Depth Estimation (F32)
|
100% |
565
4.38 IPS |
|
|
Depth Estimation (F16)
|
100% |
522
4.05 IPS |
|
|
Depth Estimation (I8)
|
99% |
523
4.06 IPS |
|
|
Style Transfer (F32)
|
100% |
1557
2.05 IPS |
|
|
Style Transfer (F16)
|
100% |
1529
2.01 IPS |
|
|
Style Transfer (I8)
|
100% |
1540
2.03 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
514
18.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
540
19.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
550
19.7 IPS |
|
|
Text Classification (F32)
|
100% |
230
331.2 IPS |
|
|
Text Classification (F16)
|
100% |
216
310.4 IPS |
|
|
Text Classification (I8)
|
96% |
219
315.1 IPS |
|
|
Machine Translation (F32)
|
100% |
315
5.80 IPS |
|
|
Machine Translation (F16)
|
100% |
241
4.43 IPS |
|
|
Machine Translation (I8)
|
99% |
294
5.41 IPS |
