iPhone 8
Geekbench ML Score
386
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 24 2024 11:58 PM |
| Views | 2 |
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% |
230
43.0 IPS |
|
|
Image Classification (F16)
|
100% |
211
39.5 IPS |
|
|
Image Classification (I8)
|
99% |
208
38.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
195
3.26 IPS |
|
|
Image Segmentation (F16)
|
100% |
193
3.23 IPS |
|
|
Image Segmentation (I8)
|
100% |
192
3.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
904
1.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
874
1.06 IPS |
|
|
Pose Estimation (I8)
|
100% |
877
1.06 IPS |
|
|
Object Detection (F32)
|
100% |
190
14.2 IPS |
|
|
Object Detection (F16)
|
100% |
216
16.1 IPS |
|
|
Object Detection (I8)
|
97% |
234
17.5 IPS |
|
|
Face Detection (F32)
|
100% |
444
5.28 IPS |
|
|
Face Detection (F16)
|
100% |
431
5.12 IPS |
|
|
Face Detection (I8)
|
99% |
436
5.18 IPS |
|
|
Depth Estimation (F32)
|
100% |
566
4.39 IPS |
|
|
Depth Estimation (F16)
|
100% |
518
4.02 IPS |
|
|
Depth Estimation (I8)
|
99% |
527
4.09 IPS |
|
|
Style Transfer (F32)
|
100% |
1458
1.92 IPS |
|
|
Style Transfer (F16)
|
100% |
1393
1.83 IPS |
|
|
Style Transfer (I8)
|
100% |
1404
1.85 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
423
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
512
18.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
511
18.3 IPS |
|
|
Text Classification (F32)
|
100% |
206
296.7 IPS |
|
|
Text Classification (F16)
|
100% |
216
309.7 IPS |
|
|
Text Classification (I8)
|
96% |
214
308.2 IPS |
|
|
Machine Translation (F32)
|
100% |
308
5.67 IPS |
|
|
Machine Translation (F16)
|
100% |
243
4.47 IPS |
|
|
Machine Translation (I8)
|
99% |
283
5.20 IPS |
