iPhone 8
Geekbench ML Score
316
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 31 2024 12:59 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% |
223
41.7 IPS |
|
|
Image Classification (F16)
|
100% |
192
35.9 IPS |
|
|
Image Classification (I8)
|
99% |
193
36.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
179
2.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
177
2.96 IPS |
|
|
Image Segmentation (I8)
|
100% |
177
2.96 IPS |
|
|
Pose Estimation (F32)
|
100% |
900
1.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
882
1.07 IPS |
|
|
Pose Estimation (I8)
|
100% |
716
0.87 IPS |
|
|
Object Detection (F32)
|
100% |
178
13.3 IPS |
|
|
Object Detection (F16)
|
100% |
176
13.1 IPS |
|
|
Object Detection (I8)
|
97% |
191
14.3 IPS |
|
|
Face Detection (F32)
|
100% |
361
4.30 IPS |
|
|
Face Detection (F16)
|
100% |
357
4.24 IPS |
|
|
Face Detection (I8)
|
99% |
357
4.25 IPS |
|
|
Depth Estimation (F32)
|
100% |
465
3.61 IPS |
|
|
Depth Estimation (F16)
|
100% |
430
3.33 IPS |
|
|
Depth Estimation (I8)
|
99% |
430
3.33 IPS |
|
|
Style Transfer (F32)
|
100% |
1115
1.47 IPS |
|
|
Style Transfer (F16)
|
100% |
1043
1.37 IPS |
|
|
Style Transfer (I8)
|
100% |
925
1.22 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
314
11.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
316
11.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
323
11.6 IPS |
|
|
Text Classification (F32)
|
100% |
155
223.2 IPS |
|
|
Text Classification (F16)
|
100% |
154
221.0 IPS |
|
|
Text Classification (I8)
|
96% |
152
219.1 IPS |
|
|
Machine Translation (F32)
|
100% |
256
4.70 IPS |
|
|
Machine Translation (F16)
|
100% |
200
3.67 IPS |
|
|
Machine Translation (I8)
|
99% |
253
4.66 IPS |
