iPhone 8 Plus
Geekbench ML Score
433
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 15 2025 11:27 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| 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% |
235
44.0 IPS |
|
|
Image Classification (F16)
|
100% |
224
42.0 IPS |
|
|
Image Classification (I8)
|
99% |
223
41.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
208
3.47 IPS |
|
|
Image Segmentation (F16)
|
100% |
211
3.53 IPS |
|
|
Image Segmentation (I8)
|
100% |
209
3.50 IPS |
|
|
Pose Estimation (F32)
|
100% |
1077
1.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
1021
1.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
979
1.19 IPS |
|
|
Object Detection (F32)
|
100% |
249
18.6 IPS |
|
|
Object Detection (F16)
|
100% |
233
17.4 IPS |
|
|
Object Detection (I8)
|
97% |
261
19.5 IPS |
|
|
Face Detection (F32)
|
100% |
481
5.71 IPS |
|
|
Face Detection (F16)
|
100% |
475
5.65 IPS |
|
|
Face Detection (I8)
|
99% |
474
5.64 IPS |
|
|
Depth Estimation (F32)
|
100% |
653
5.06 IPS |
|
|
Depth Estimation (F16)
|
100% |
512
3.97 IPS |
|
|
Depth Estimation (I8)
|
99% |
554
4.30 IPS |
|
|
Style Transfer (F32)
|
100% |
1687
2.22 IPS |
|
|
Style Transfer (F16)
|
100% |
1692
2.23 IPS |
|
|
Style Transfer (I8)
|
100% |
1675
2.20 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
556
19.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
572
20.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
582
20.8 IPS |
|
|
Text Classification (F32)
|
100% |
260
373.6 IPS |
|
|
Text Classification (F16)
|
100% |
217
311.7 IPS |
|
|
Text Classification (I8)
|
96% |
225
323.8 IPS |
|
|
Machine Translation (F32)
|
100% |
332
6.11 IPS |
|
|
Machine Translation (F16)
|
100% |
284
5.22 IPS |
|
|
Machine Translation (I8)
|
99% |
343
6.32 IPS |
