iPhone 8
Geekbench ML Score
640
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 06:38 PM |
| Views | 2 |
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% |
185
34.6 IPS |
|
|
Image Classification (F16)
|
100% |
146
27.4 IPS |
|
|
Image Classification (I8)
|
99% |
144
26.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
185
3.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.35 IPS |
|
|
Image Segmentation (I8)
|
100% |
197
3.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
2395
2.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
2919
3.53 IPS |
|
|
Pose Estimation (I8)
|
100% |
2883
3.49 IPS |
|
|
Object Detection (F32)
|
100% |
322
24.0 IPS |
|
|
Object Detection (F16)
|
100% |
367
27.4 IPS |
|
|
Object Detection (I8)
|
97% |
368
27.5 IPS |
|
|
Face Detection (F32)
|
100% |
1080
12.8 IPS |
|
|
Face Detection (F16)
|
100% |
999
11.9 IPS |
|
|
Face Detection (I8)
|
99% |
979
11.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2347
18.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2346
18.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
2336
18.1 IPS |
|
|
Style Transfer (F32)
|
100% |
4202
5.53 IPS |
|
|
Style Transfer (F16)
|
100% |
4694
6.17 IPS |
|
|
Style Transfer (I8)
|
100% |
4692
6.17 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
987
35.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1026
36.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1067
38.1 IPS |
|
|
Text Classification (F32)
|
100% |
53
75.8 IPS |
|
|
Text Classification (F16)
|
100% |
201
289.0 IPS |
|
|
Text Classification (I8)
|
96% |
200
286.7 IPS |
|
|
Machine Translation (F32)
|
100% |
311
5.72 IPS |
|
|
Machine Translation (F16)
|
100% |
235
4.33 IPS |
|
|
Machine Translation (I8)
|
99% |
292
5.37 IPS |
