iPhone 8
Geekbench ML Score
613
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 07 2024 09:51 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% |
175
32.8 IPS |
|
|
Image Classification (F16)
|
100% |
141
26.3 IPS |
|
|
Image Classification (I8)
|
99% |
147
27.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
185
3.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.31 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
2267
2.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
2739
3.32 IPS |
|
|
Pose Estimation (I8)
|
100% |
2647
3.21 IPS |
|
|
Object Detection (F32)
|
100% |
297
22.2 IPS |
|
|
Object Detection (F16)
|
100% |
263
19.6 IPS |
|
|
Object Detection (I8)
|
97% |
300
22.4 IPS |
|
|
Face Detection (F32)
|
100% |
966
11.5 IPS |
|
|
Face Detection (F16)
|
100% |
950
11.3 IPS |
|
|
Face Detection (I8)
|
99% |
1027
12.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2075
16.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2289
17.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
2331
18.1 IPS |
|
|
Style Transfer (F32)
|
100% |
4216
5.55 IPS |
|
|
Style Transfer (F16)
|
100% |
4651
6.12 IPS |
|
|
Style Transfer (I8)
|
100% |
4308
5.67 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
906
32.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1201
42.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1024
36.6 IPS |
|
|
Text Classification (F32)
|
100% |
50
71.4 IPS |
|
|
Text Classification (F16)
|
100% |
196
281.8 IPS |
|
|
Text Classification (I8)
|
96% |
202
290.7 IPS |
|
|
Machine Translation (F32)
|
100% |
311
5.73 IPS |
|
|
Machine Translation (F16)
|
100% |
239
4.41 IPS |
|
|
Machine Translation (I8)
|
99% |
298
5.48 IPS |
