iPhone 8 Plus
Geekbench ML Score
375
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 10 2024 03:41 PM |
| Views | 2 |
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% |
230
43.0 IPS |
|
|
Image Classification (F16)
|
100% |
212
39.6 IPS |
|
|
Image Classification (I8)
|
99% |
207
38.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
190
3.17 IPS |
|
|
Image Segmentation (I8)
|
100% |
185
3.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
887
1.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
872
1.06 IPS |
|
|
Pose Estimation (I8)
|
100% |
843
1.02 IPS |
|
|
Object Detection (F32)
|
100% |
240
17.9 IPS |
|
|
Object Detection (F16)
|
100% |
229
17.1 IPS |
|
|
Object Detection (I8)
|
97% |
244
18.2 IPS |
|
|
Face Detection (F32)
|
100% |
442
5.25 IPS |
|
|
Face Detection (F16)
|
100% |
418
4.96 IPS |
|
|
Face Detection (I8)
|
99% |
433
5.15 IPS |
|
|
Depth Estimation (F32)
|
100% |
564
4.37 IPS |
|
|
Depth Estimation (F16)
|
100% |
427
3.31 IPS |
|
|
Depth Estimation (I8)
|
99% |
426
3.30 IPS |
|
|
Style Transfer (F32)
|
100% |
1103
1.45 IPS |
|
|
Style Transfer (F16)
|
100% |
1123
1.48 IPS |
|
|
Style Transfer (I8)
|
100% |
1403
1.85 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
423
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
488
17.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
506
18.1 IPS |
|
|
Text Classification (F32)
|
100% |
206
295.9 IPS |
|
|
Text Classification (F16)
|
100% |
214
307.7 IPS |
|
|
Text Classification (I8)
|
96% |
212
304.1 IPS |
|
|
Machine Translation (F32)
|
100% |
308
5.68 IPS |
|
|
Machine Translation (F16)
|
100% |
240
4.41 IPS |
|
|
Machine Translation (I8)
|
99% |
287
5.28 IPS |
