iPhone 8 Plus
Geekbench ML Score
628
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 27 2025 06:14 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
179
33.5 IPS |
|
|
Image Classification (F16)
|
100% |
147
27.4 IPS |
|
|
Image Classification (I8)
|
99% |
145
27.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
202
3.37 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
2381
2.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
2759
3.34 IPS |
|
|
Pose Estimation (I8)
|
100% |
2610
3.16 IPS |
|
|
Object Detection (F32)
|
100% |
290
21.6 IPS |
|
|
Object Detection (F16)
|
100% |
312
23.3 IPS |
|
|
Object Detection (I8)
|
97% |
309
23.1 IPS |
|
|
Face Detection (F32)
|
100% |
964
11.5 IPS |
|
|
Face Detection (F16)
|
100% |
977
11.6 IPS |
|
|
Face Detection (I8)
|
99% |
1007
12.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2245
17.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2297
17.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
2300
17.8 IPS |
|
|
Style Transfer (F32)
|
100% |
4342
5.71 IPS |
|
|
Style Transfer (F16)
|
100% |
4910
6.46 IPS |
|
|
Style Transfer (I8)
|
100% |
4904
6.45 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1031
36.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
967
34.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1276
45.6 IPS |
|
|
Text Classification (F32)
|
100% |
50
71.7 IPS |
|
|
Text Classification (F16)
|
100% |
202
290.2 IPS |
|
|
Text Classification (I8)
|
96% |
197
283.4 IPS |
|
|
Machine Translation (F32)
|
100% |
315
5.80 IPS |
|
|
Machine Translation (F16)
|
100% |
242
4.45 IPS |
|
|
Machine Translation (I8)
|
99% |
289
5.31 IPS |
