iPhone 8 Plus
Geekbench ML Score
328
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 29 2024 09:31 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPhone 8 Plus |
| Model ID | iPhone10,5 |
| Motherboard | D211AP |
| 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 | 2.90 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
235
44.0 IPS |
|
|
Image Classification (F16)
|
100% |
215
40.3 IPS |
|
|
Image Classification (I8)
|
99% |
208
38.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
190
3.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
191
3.20 IPS |
|
|
Image Segmentation (I8)
|
100% |
139
2.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
666
0.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
655
0.79 IPS |
|
|
Pose Estimation (I8)
|
100% |
589
0.71 IPS |
|
|
Object Detection (F32)
|
100% |
126
9.40 IPS |
|
|
Object Detection (F16)
|
100% |
132
9.85 IPS |
|
|
Object Detection (I8)
|
97% |
146
10.9 IPS |
|
|
Face Detection (F32)
|
100% |
422
5.02 IPS |
|
|
Face Detection (F16)
|
100% |
441
5.24 IPS |
|
|
Face Detection (I8)
|
99% |
372
4.42 IPS |
|
|
Depth Estimation (F32)
|
100% |
460
3.57 IPS |
|
|
Depth Estimation (F16)
|
100% |
430
3.34 IPS |
|
|
Depth Estimation (I8)
|
99% |
430
3.33 IPS |
|
|
Style Transfer (F32)
|
100% |
1364
1.79 IPS |
|
|
Style Transfer (F16)
|
100% |
1403
1.85 IPS |
|
|
Style Transfer (I8)
|
100% |
1315
1.73 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
425
15.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
418
14.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
421
15.0 IPS |
|
|
Text Classification (F32)
|
100% |
155
222.7 IPS |
|
|
Text Classification (F16)
|
100% |
202
289.7 IPS |
|
|
Text Classification (I8)
|
96% |
202
291.0 IPS |
|
|
Machine Translation (F32)
|
100% |
255
4.69 IPS |
|
|
Machine Translation (F16)
|
100% |
201
3.71 IPS |
|
|
Machine Translation (I8)
|
99% |
269
4.95 IPS |
