iPhone 8 Plus
Geekbench ML Score
415
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 25 2024 09:27 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPhone 8 Plus |
| Model ID | iPhone10,2 |
| Motherboard | D21AP |
| 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% |
226
42.4 IPS |
|
|
Image Classification (F16)
|
100% |
213
39.8 IPS |
|
|
Image Classification (I8)
|
99% |
215
40.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
202
3.38 IPS |
|
|
Image Segmentation (F16)
|
100% |
208
3.47 IPS |
|
|
Image Segmentation (I8)
|
100% |
201
3.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
1035
1.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
1005
1.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
975
1.18 IPS |
|
|
Object Detection (F32)
|
100% |
235
17.5 IPS |
|
|
Object Detection (F16)
|
100% |
218
16.2 IPS |
|
|
Object Detection (I8)
|
97% |
242
18.1 IPS |
|
|
Face Detection (F32)
|
100% |
475
5.65 IPS |
|
|
Face Detection (F16)
|
100% |
469
5.58 IPS |
|
|
Face Detection (I8)
|
99% |
399
4.75 IPS |
|
|
Depth Estimation (F32)
|
100% |
534
4.14 IPS |
|
|
Depth Estimation (F16)
|
100% |
508
3.94 IPS |
|
|
Depth Estimation (I8)
|
99% |
509
3.95 IPS |
|
|
Style Transfer (F32)
|
100% |
1533
2.02 IPS |
|
|
Style Transfer (F16)
|
100% |
1580
2.08 IPS |
|
|
Style Transfer (I8)
|
100% |
1694
2.23 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
553
19.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
552
19.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
574
20.5 IPS |
|
|
Text Classification (F32)
|
100% |
251
360.2 IPS |
|
|
Text Classification (F16)
|
100% |
218
313.7 IPS |
|
|
Text Classification (I8)
|
96% |
222
319.3 IPS |
|
|
Machine Translation (F32)
|
100% |
329
6.05 IPS |
|
|
Machine Translation (F16)
|
100% |
270
4.98 IPS |
|
|
Machine Translation (I8)
|
99% |
333
6.14 IPS |
