iPhone 8
Geekbench ML Score
381
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 13 2024 11:32 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
231
43.2 IPS |
|
|
Image Classification (F16)
|
100% |
211
39.5 IPS |
|
|
Image Classification (I8)
|
99% |
208
39.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
192
3.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
192
3.20 IPS |
|
|
Image Segmentation (I8)
|
100% |
193
3.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
932
1.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
883
1.07 IPS |
|
|
Pose Estimation (I8)
|
100% |
874
1.06 IPS |
|
|
Object Detection (F32)
|
100% |
190
14.2 IPS |
|
|
Object Detection (F16)
|
100% |
213
15.9 IPS |
|
|
Object Detection (I8)
|
97% |
234
17.5 IPS |
|
|
Face Detection (F32)
|
100% |
442
5.26 IPS |
|
|
Face Detection (F16)
|
100% |
437
5.20 IPS |
|
|
Face Detection (I8)
|
99% |
438
5.21 IPS |
|
|
Depth Estimation (F32)
|
100% |
564
4.37 IPS |
|
|
Depth Estimation (F16)
|
100% |
470
3.64 IPS |
|
|
Depth Estimation (I8)
|
99% |
467
3.62 IPS |
|
|
Style Transfer (F32)
|
100% |
1374
1.81 IPS |
|
|
Style Transfer (F16)
|
100% |
1404
1.85 IPS |
|
|
Style Transfer (I8)
|
100% |
1397
1.84 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
423
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
511
18.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
505
18.0 IPS |
|
|
Text Classification (F32)
|
100% |
207
297.0 IPS |
|
|
Text Classification (F16)
|
100% |
213
306.3 IPS |
|
|
Text Classification (I8)
|
96% |
213
306.7 IPS |
|
|
Machine Translation (F32)
|
100% |
303
5.58 IPS |
|
|
Machine Translation (F16)
|
100% |
234
4.31 IPS |
|
|
Machine Translation (I8)
|
99% |
282
5.18 IPS |
