iPhone 8 Plus
Geekbench ML Score
383
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 02 2024 12:08 PM |
| Views | 1 |
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% |
229
42.8 IPS |
|
|
Image Classification (F16)
|
100% |
211
39.5 IPS |
|
|
Image Classification (I8)
|
99% |
207
38.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
191
3.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
188
3.14 IPS |
|
|
Image Segmentation (I8)
|
100% |
188
3.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
1012
1.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
864
1.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
853
1.03 IPS |
|
|
Object Detection (F32)
|
100% |
185
13.8 IPS |
|
|
Object Detection (F16)
|
100% |
207
15.5 IPS |
|
|
Object Detection (I8)
|
97% |
228
17.0 IPS |
|
|
Face Detection (F32)
|
100% |
441
5.24 IPS |
|
|
Face Detection (F16)
|
100% |
435
5.17 IPS |
|
|
Face Detection (I8)
|
99% |
432
5.13 IPS |
|
|
Depth Estimation (F32)
|
100% |
558
4.33 IPS |
|
|
Depth Estimation (F16)
|
100% |
519
4.02 IPS |
|
|
Depth Estimation (I8)
|
99% |
517
4.01 IPS |
|
|
Style Transfer (F32)
|
100% |
1447
1.90 IPS |
|
|
Style Transfer (F16)
|
100% |
1384
1.82 IPS |
|
|
Style Transfer (I8)
|
100% |
1375
1.81 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
421
15.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
505
18.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
506
18.1 IPS |
|
|
Text Classification (F32)
|
100% |
203
292.0 IPS |
|
|
Text Classification (F16)
|
100% |
216
310.0 IPS |
|
|
Text Classification (I8)
|
96% |
215
309.3 IPS |
|
|
Machine Translation (F32)
|
100% |
306
5.63 IPS |
|
|
Machine Translation (F16)
|
100% |
240
4.42 IPS |
|
|
Machine Translation (I8)
|
99% |
301
5.54 IPS |
