iPhone 8
Geekbench ML Score
620
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 30 2024 01:03 AM |
| Views | 1 |
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% |
181
33.8 IPS |
|
|
Image Classification (F16)
|
100% |
141
26.3 IPS |
|
|
Image Classification (I8)
|
99% |
142
26.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.31 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
2253
2.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
2667
3.23 IPS |
|
|
Pose Estimation (I8)
|
100% |
2546
3.08 IPS |
|
|
Object Detection (F32)
|
100% |
286
21.3 IPS |
|
|
Object Detection (F16)
|
100% |
314
23.4 IPS |
|
|
Object Detection (I8)
|
97% |
291
21.7 IPS |
|
|
Face Detection (F32)
|
100% |
966
11.5 IPS |
|
|
Face Detection (F16)
|
100% |
955
11.4 IPS |
|
|
Face Detection (I8)
|
99% |
923
11.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2289
17.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2335
18.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
2294
17.8 IPS |
|
|
Style Transfer (F32)
|
100% |
4395
5.78 IPS |
|
|
Style Transfer (F16)
|
100% |
4816
6.34 IPS |
|
|
Style Transfer (I8)
|
100% |
5031
6.62 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
976
34.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1016
36.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
999
35.7 IPS |
|
|
Text Classification (F32)
|
100% |
54
77.0 IPS |
|
|
Text Classification (F16)
|
100% |
201
289.1 IPS |
|
|
Text Classification (I8)
|
96% |
202
290.3 IPS |
|
|
Machine Translation (F32)
|
100% |
314
5.79 IPS |
|
|
Machine Translation (F16)
|
100% |
240
4.42 IPS |
|
|
Machine Translation (I8)
|
99% |
308
5.67 IPS |
