iPhone 8
Geekbench ML Score
624
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 24 2024 11:47 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPhone 8 |
| Model ID | iPhone10,1 |
| Motherboard | D20AP |
| 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 | 1.93 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
173
32.4 IPS |
|
|
Image Classification (F16)
|
100% |
145
27.1 IPS |
|
|
Image Classification (I8)
|
99% |
142
26.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
2306
2.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
2619
3.17 IPS |
|
|
Pose Estimation (I8)
|
100% |
2782
3.37 IPS |
|
|
Object Detection (F32)
|
100% |
322
24.1 IPS |
|
|
Object Detection (F16)
|
100% |
276
20.6 IPS |
|
|
Object Detection (I8)
|
97% |
282
21.1 IPS |
|
|
Face Detection (F32)
|
100% |
886
10.5 IPS |
|
|
Face Detection (F16)
|
100% |
960
11.4 IPS |
|
|
Face Detection (I8)
|
99% |
990
11.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2312
17.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2485
19.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
2319
18.0 IPS |
|
|
Style Transfer (F32)
|
100% |
4660
6.13 IPS |
|
|
Style Transfer (F16)
|
100% |
4945
6.51 IPS |
|
|
Style Transfer (I8)
|
100% |
4842
6.37 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
940
33.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1182
42.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1048
37.4 IPS |
|
|
Text Classification (F32)
|
100% |
49
70.1 IPS |
|
|
Text Classification (F16)
|
100% |
202
290.9 IPS |
|
|
Text Classification (I8)
|
96% |
202
290.9 IPS |
|
|
Machine Translation (F32)
|
100% |
305
5.61 IPS |
|
|
Machine Translation (F16)
|
100% |
240
4.42 IPS |
|
|
Machine Translation (I8)
|
99% |
313
5.75 IPS |
