iPhone 8
Geekbench ML Score
423
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 27 2024 12:27 AM |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
235
43.9 IPS |
|
|
Image Classification (F16)
|
100% |
217
40.6 IPS |
|
|
Image Classification (I8)
|
99% |
214
40.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
206
3.43 IPS |
|
|
Image Segmentation (F16)
|
100% |
202
3.37 IPS |
|
|
Image Segmentation (I8)
|
100% |
201
3.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
1040
1.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
1010
1.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
997
1.21 IPS |
|
|
Object Detection (F32)
|
100% |
251
18.7 IPS |
|
|
Object Detection (F16)
|
100% |
236
17.6 IPS |
|
|
Object Detection (I8)
|
97% |
255
19.1 IPS |
|
|
Face Detection (F32)
|
100% |
481
5.72 IPS |
|
|
Face Detection (F16)
|
100% |
475
5.65 IPS |
|
|
Face Detection (I8)
|
99% |
471
5.60 IPS |
|
|
Depth Estimation (F32)
|
100% |
614
4.76 IPS |
|
|
Depth Estimation (F16)
|
100% |
569
4.41 IPS |
|
|
Depth Estimation (I8)
|
99% |
539
4.18 IPS |
|
|
Style Transfer (F32)
|
100% |
1609
2.12 IPS |
|
|
Style Transfer (F16)
|
100% |
1649
2.17 IPS |
|
|
Style Transfer (I8)
|
100% |
1659
2.18 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
546
19.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
555
19.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
551
19.7 IPS |
|
|
Text Classification (F32)
|
100% |
241
346.7 IPS |
|
|
Text Classification (F16)
|
100% |
214
307.1 IPS |
|
|
Text Classification (I8)
|
96% |
218
313.8 IPS |
|
|
Machine Translation (F32)
|
100% |
314
5.78 IPS |
|
|
Machine Translation (F16)
|
100% |
256
4.71 IPS |
|
|
Machine Translation (I8)
|
99% |
320
5.89 IPS |
