iPhone 8 Plus
Geekbench ML Score
418
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 25 2024 07:24 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.4 |
| 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% |
232
43.3 IPS |
|
|
Image Classification (F16)
|
100% |
215
40.3 IPS |
|
|
Image Classification (I8)
|
99% |
215
40.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
202
3.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
206
3.43 IPS |
|
|
Image Segmentation (I8)
|
100% |
204
3.41 IPS |
|
|
Pose Estimation (F32)
|
100% |
1018
1.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
1007
1.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
967
1.17 IPS |
|
|
Object Detection (F32)
|
100% |
232
17.3 IPS |
|
|
Object Detection (F16)
|
100% |
225
16.8 IPS |
|
|
Object Detection (I8)
|
97% |
251
18.7 IPS |
|
|
Face Detection (F32)
|
100% |
481
5.72 IPS |
|
|
Face Detection (F16)
|
100% |
476
5.66 IPS |
|
|
Face Detection (I8)
|
99% |
477
5.67 IPS |
|
|
Depth Estimation (F32)
|
100% |
620
4.81 IPS |
|
|
Depth Estimation (F16)
|
100% |
531
4.12 IPS |
|
|
Depth Estimation (I8)
|
99% |
524
4.06 IPS |
|
|
Style Transfer (F32)
|
100% |
1584
2.08 IPS |
|
|
Style Transfer (F16)
|
100% |
1545
2.03 IPS |
|
|
Style Transfer (I8)
|
100% |
1530
2.01 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
515
18.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
553
19.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
558
19.9 IPS |
|
|
Text Classification (F32)
|
100% |
257
369.1 IPS |
|
|
Text Classification (F16)
|
100% |
212
304.7 IPS |
|
|
Text Classification (I8)
|
96% |
220
316.0 IPS |
|
|
Machine Translation (F32)
|
100% |
333
6.12 IPS |
|
|
Machine Translation (F16)
|
100% |
265
4.88 IPS |
|
|
Machine Translation (I8)
|
99% |
330
6.07 IPS |
