iPhone 8 Plus
Geekbench ML Score
403
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 14 2025 05:53 PM |
| Views | 6 |
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% |
233
43.6 IPS |
|
|
Image Classification (F16)
|
100% |
217
40.7 IPS |
|
|
Image Classification (I8)
|
99% |
210
39.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
199
3.33 IPS |
|
|
Image Segmentation (F16)
|
100% |
201
3.35 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
937
1.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
989
1.20 IPS |
|
|
Pose Estimation (I8)
|
100% |
951
1.15 IPS |
|
|
Object Detection (F32)
|
100% |
247
18.4 IPS |
|
|
Object Detection (F16)
|
100% |
235
17.5 IPS |
|
|
Object Detection (I8)
|
97% |
256
19.1 IPS |
|
|
Face Detection (F32)
|
100% |
480
5.71 IPS |
|
|
Face Detection (F16)
|
100% |
472
5.61 IPS |
|
|
Face Detection (I8)
|
99% |
472
5.62 IPS |
|
|
Depth Estimation (F32)
|
100% |
610
4.73 IPS |
|
|
Depth Estimation (F16)
|
100% |
529
4.10 IPS |
|
|
Depth Estimation (I8)
|
99% |
524
4.06 IPS |
|
|
Style Transfer (F32)
|
100% |
1490
1.96 IPS |
|
|
Style Transfer (F16)
|
100% |
1404
1.85 IPS |
|
|
Style Transfer (I8)
|
100% |
1409
1.85 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
424
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
512
18.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
510
18.2 IPS |
|
|
Text Classification (F32)
|
100% |
201
289.2 IPS |
|
|
Text Classification (F16)
|
100% |
215
308.7 IPS |
|
|
Text Classification (I8)
|
96% |
217
312.0 IPS |
|
|
Machine Translation (F32)
|
100% |
316
5.81 IPS |
|
|
Machine Translation (F16)
|
100% |
242
4.46 IPS |
|
|
Machine Translation (I8)
|
99% |
307
5.65 IPS |
