iPhone 8
Geekbench ML Score
613
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 08 2024 08:20 PM |
| 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% |
177
33.1 IPS |
|
|
Image Classification (F16)
|
100% |
144
26.9 IPS |
|
|
Image Classification (I8)
|
99% |
140
26.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
201
3.35 IPS |
|
|
Image Segmentation (I8)
|
100% |
198
3.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
2244
2.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
2531
3.07 IPS |
|
|
Pose Estimation (I8)
|
100% |
2528
3.06 IPS |
|
|
Object Detection (F32)
|
100% |
261
19.5 IPS |
|
|
Object Detection (F16)
|
100% |
310
23.1 IPS |
|
|
Object Detection (I8)
|
97% |
321
24.0 IPS |
|
|
Face Detection (F32)
|
100% |
973
11.6 IPS |
|
|
Face Detection (F16)
|
100% |
1099
13.1 IPS |
|
|
Face Detection (I8)
|
99% |
974
11.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2142
16.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2321
18.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
2569
19.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4346
5.72 IPS |
|
|
Style Transfer (F16)
|
100% |
4817
6.34 IPS |
|
|
Style Transfer (I8)
|
100% |
4832
6.36 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
889
31.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1013
36.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
938
33.5 IPS |
|
|
Text Classification (F32)
|
100% |
51
72.6 IPS |
|
|
Text Classification (F16)
|
100% |
197
283.3 IPS |
|
|
Text Classification (I8)
|
96% |
197
283.2 IPS |
|
|
Machine Translation (F32)
|
100% |
310
5.70 IPS |
|
|
Machine Translation (F16)
|
100% |
223
4.11 IPS |
|
|
Machine Translation (I8)
|
99% |
278
5.12 IPS |
