iPhone 8 Plus
Geekbench ML Score
384
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 27 2025 06:00 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPhone 8 Plus |
| Model ID | iPhone10,5 |
| Motherboard | D211AP |
| 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 | 2.90 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
234
43.8 IPS |
|
|
Image Classification (F16)
|
100% |
217
40.6 IPS |
|
|
Image Classification (I8)
|
99% |
213
39.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
194
3.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
197
3.29 IPS |
|
|
Image Segmentation (I8)
|
100% |
193
3.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
885
1.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
906
1.10 IPS |
|
|
Pose Estimation (I8)
|
100% |
910
1.10 IPS |
|
|
Object Detection (F32)
|
100% |
234
17.5 IPS |
|
|
Object Detection (F16)
|
100% |
223
16.6 IPS |
|
|
Object Detection (I8)
|
97% |
249
18.6 IPS |
|
|
Face Detection (F32)
|
100% |
462
5.49 IPS |
|
|
Face Detection (F16)
|
100% |
435
5.17 IPS |
|
|
Face Detection (I8)
|
99% |
437
5.19 IPS |
|
|
Depth Estimation (F32)
|
100% |
562
4.36 IPS |
|
|
Depth Estimation (F16)
|
100% |
476
3.69 IPS |
|
|
Depth Estimation (I8)
|
99% |
462
3.58 IPS |
|
|
Style Transfer (F32)
|
100% |
1368
1.80 IPS |
|
|
Style Transfer (F16)
|
100% |
1229
1.62 IPS |
|
|
Style Transfer (I8)
|
100% |
1394
1.83 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
425
15.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
453
16.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
509
18.2 IPS |
|
|
Text Classification (F32)
|
100% |
206
295.5 IPS |
|
|
Text Classification (F16)
|
100% |
203
291.2 IPS |
|
|
Text Classification (I8)
|
96% |
216
309.8 IPS |
|
|
Machine Translation (F32)
|
100% |
304
5.59 IPS |
|
|
Machine Translation (F16)
|
100% |
238
4.38 IPS |
|
|
Machine Translation (I8)
|
99% |
292
5.37 IPS |
