iPhone 8 Plus
Geekbench ML Score
665
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 25 2024 09:32 PM |
| Views | 1 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
181
33.9 IPS |
|
|
Image Classification (F16)
|
100% |
155
29.0 IPS |
|
|
Image Classification (I8)
|
99% |
156
29.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
193
3.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
202
3.37 IPS |
|
|
Image Segmentation (I8)
|
100% |
203
3.40 IPS |
|
|
Pose Estimation (F32)
|
100% |
2378
2.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
2882
3.49 IPS |
|
|
Pose Estimation (I8)
|
100% |
2872
3.48 IPS |
|
|
Object Detection (F32)
|
100% |
246
18.4 IPS |
|
|
Object Detection (F16)
|
100% |
313
23.3 IPS |
|
|
Object Detection (I8)
|
97% |
307
22.9 IPS |
|
|
Face Detection (F32)
|
100% |
930
11.1 IPS |
|
|
Face Detection (F16)
|
100% |
959
11.4 IPS |
|
|
Face Detection (I8)
|
99% |
949
11.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2527
19.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
3052
23.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
3005
23.3 IPS |
|
|
Style Transfer (F32)
|
100% |
5667
7.45 IPS |
|
|
Style Transfer (F16)
|
100% |
6888
9.06 IPS |
|
|
Style Transfer (I8)
|
100% |
6713
8.83 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1129
40.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1223
43.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1246
44.5 IPS |
|
|
Text Classification (F32)
|
100% |
68
97.5 IPS |
|
|
Text Classification (F16)
|
100% |
163
234.7 IPS |
|
|
Text Classification (I8)
|
96% |
170
243.9 IPS |
|
|
Machine Translation (F32)
|
100% |
287
5.28 IPS |
|
|
Machine Translation (F16)
|
100% |
231
4.25 IPS |
|
|
Machine Translation (I8)
|
99% |
279
5.14 IPS |
