iPhone 8
Geekbench ML Score
418
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 09 2024 09:46 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
239
44.7 IPS |
|
|
Image Classification (F16)
|
100% |
220
41.1 IPS |
|
|
Image Classification (I8)
|
99% |
217
40.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
204
3.41 IPS |
|
|
Image Segmentation (F16)
|
100% |
207
3.46 IPS |
|
|
Image Segmentation (I8)
|
100% |
206
3.44 IPS |
|
|
Pose Estimation (F32)
|
100% |
1015
1.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
1005
1.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
981
1.19 IPS |
|
|
Object Detection (F32)
|
100% |
249
18.6 IPS |
|
|
Object Detection (F16)
|
100% |
237
17.7 IPS |
|
|
Object Detection (I8)
|
97% |
257
19.2 IPS |
|
|
Face Detection (F32)
|
100% |
483
5.74 IPS |
|
|
Face Detection (F16)
|
100% |
472
5.61 IPS |
|
|
Face Detection (I8)
|
99% |
472
5.61 IPS |
|
|
Depth Estimation (F32)
|
100% |
615
4.77 IPS |
|
|
Depth Estimation (F16)
|
100% |
555
4.30 IPS |
|
|
Depth Estimation (I8)
|
99% |
528
4.09 IPS |
|
|
Style Transfer (F32)
|
100% |
1595
2.10 IPS |
|
|
Style Transfer (F16)
|
100% |
1606
2.11 IPS |
|
|
Style Transfer (I8)
|
100% |
1565
2.06 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
513
18.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
555
19.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
561
20.0 IPS |
|
|
Text Classification (F32)
|
100% |
259
372.0 IPS |
|
|
Text Classification (F16)
|
100% |
215
308.3 IPS |
|
|
Text Classification (I8)
|
96% |
221
317.9 IPS |
|
|
Machine Translation (F32)
|
100% |
278
5.12 IPS |
|
|
Machine Translation (F16)
|
100% |
229
4.21 IPS |
|
|
Machine Translation (I8)
|
99% |
307
5.65 IPS |
