iPhone 8
Geekbench ML Score
626
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 23 2024 03:31 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.5 |
| 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% |
175
32.7 IPS |
|
|
Image Classification (F16)
|
100% |
142
26.6 IPS |
|
|
Image Classification (I8)
|
99% |
145
27.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
202
3.37 IPS |
|
|
Pose Estimation (F32)
|
100% |
2271
2.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
2761
3.34 IPS |
|
|
Pose Estimation (I8)
|
100% |
2725
3.30 IPS |
|
|
Object Detection (F32)
|
100% |
309
23.1 IPS |
|
|
Object Detection (F16)
|
100% |
300
22.4 IPS |
|
|
Object Detection (I8)
|
97% |
274
20.5 IPS |
|
|
Face Detection (F32)
|
100% |
897
10.7 IPS |
|
|
Face Detection (F16)
|
100% |
1008
12.0 IPS |
|
|
Face Detection (I8)
|
99% |
1003
11.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2129
16.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2311
17.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
2323
18.0 IPS |
|
|
Style Transfer (F32)
|
100% |
4138
5.44 IPS |
|
|
Style Transfer (F16)
|
100% |
4842
6.37 IPS |
|
|
Style Transfer (I8)
|
100% |
5005
6.58 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1117
39.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1346
48.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
932
33.3 IPS |
|
|
Text Classification (F32)
|
100% |
50
71.2 IPS |
|
|
Text Classification (F16)
|
100% |
198
284.6 IPS |
|
|
Text Classification (I8)
|
96% |
199
286.3 IPS |
|
|
Machine Translation (F32)
|
100% |
314
5.78 IPS |
|
|
Machine Translation (F16)
|
100% |
241
4.44 IPS |
|
|
Machine Translation (I8)
|
99% |
314
5.78 IPS |
