iPhone 8 Plus
Geekbench ML Score
629
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 25 2024 07:14 PM |
| Views | 3 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
179
33.5 IPS |
|
|
Image Classification (F16)
|
100% |
144
26.9 IPS |
|
|
Image Classification (I8)
|
99% |
141
26.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.30 IPS |
|
|
Image Segmentation (I8)
|
100% |
198
3.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
2250
2.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
2666
3.23 IPS |
|
|
Pose Estimation (I8)
|
100% |
2610
3.16 IPS |
|
|
Object Detection (F32)
|
100% |
319
23.8 IPS |
|
|
Object Detection (F16)
|
100% |
289
21.6 IPS |
|
|
Object Detection (I8)
|
97% |
259
19.4 IPS |
|
|
Face Detection (F32)
|
100% |
888
10.6 IPS |
|
|
Face Detection (F16)
|
100% |
1016
12.1 IPS |
|
|
Face Detection (I8)
|
99% |
975
11.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2406
18.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2251
17.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
2326
18.0 IPS |
|
|
Style Transfer (F32)
|
100% |
4638
6.10 IPS |
|
|
Style Transfer (F16)
|
100% |
4834
6.36 IPS |
|
|
Style Transfer (I8)
|
100% |
4997
6.57 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1138
40.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1090
38.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1274
45.5 IPS |
|
|
Text Classification (F32)
|
100% |
49
70.1 IPS |
|
|
Text Classification (F16)
|
100% |
198
285.1 IPS |
|
|
Text Classification (I8)
|
96% |
198
284.2 IPS |
|
|
Machine Translation (F32)
|
100% |
313
5.77 IPS |
|
|
Machine Translation (F16)
|
100% |
248
4.57 IPS |
|
|
Machine Translation (I8)
|
99% |
315
5.79 IPS |
