iPhone 8
Geekbench ML Score
408
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 12 2024 07:39 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.5 |
| Model | iPhone 8 |
| Model ID | iPhone10,4 |
| Motherboard | D201AP |
| 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% |
237
44.3 IPS |
|
|
Image Classification (F16)
|
100% |
220
41.2 IPS |
|
|
Image Classification (I8)
|
99% |
216
40.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
200
3.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
196
3.27 IPS |
|
|
Image Segmentation (I8)
|
100% |
203
3.40 IPS |
|
|
Pose Estimation (F32)
|
100% |
1028
1.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
1022
1.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
992
1.20 IPS |
|
|
Object Detection (F32)
|
100% |
232
17.3 IPS |
|
|
Object Detection (F16)
|
100% |
228
17.0 IPS |
|
|
Object Detection (I8)
|
97% |
252
18.8 IPS |
|
|
Face Detection (F32)
|
100% |
477
5.67 IPS |
|
|
Face Detection (F16)
|
100% |
470
5.59 IPS |
|
|
Face Detection (I8)
|
99% |
458
5.44 IPS |
|
|
Depth Estimation (F32)
|
100% |
615
4.77 IPS |
|
|
Depth Estimation (F16)
|
100% |
536
4.15 IPS |
|
|
Depth Estimation (I8)
|
99% |
519
4.03 IPS |
|
|
Style Transfer (F32)
|
100% |
1572
2.07 IPS |
|
|
Style Transfer (F16)
|
100% |
1487
1.96 IPS |
|
|
Style Transfer (I8)
|
100% |
1481
1.95 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
515
18.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
516
18.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
553
19.7 IPS |
|
|
Text Classification (F32)
|
100% |
230
330.7 IPS |
|
|
Text Classification (F16)
|
100% |
212
305.0 IPS |
|
|
Text Classification (I8)
|
96% |
221
317.6 IPS |
|
|
Machine Translation (F32)
|
100% |
277
5.09 IPS |
|
|
Machine Translation (F16)
|
100% |
229
4.22 IPS |
|
|
Machine Translation (I8)
|
99% |
291
5.36 IPS |
