iPhone 8 Plus
Geekbench ML Score
420
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 24 2024 10:25 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% |
234
43.7 IPS |
|
|
Image Classification (F16)
|
100% |
216
40.5 IPS |
|
|
Image Classification (I8)
|
99% |
213
39.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
200
3.35 IPS |
|
|
Image Segmentation (F16)
|
100% |
201
3.36 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
1048
1.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
1021
1.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
1030
1.25 IPS |
|
|
Object Detection (F32)
|
100% |
248
18.5 IPS |
|
|
Object Detection (F16)
|
100% |
238
17.8 IPS |
|
|
Object Detection (I8)
|
97% |
253
18.9 IPS |
|
|
Face Detection (F32)
|
100% |
477
5.67 IPS |
|
|
Face Detection (F16)
|
100% |
468
5.57 IPS |
|
|
Face Detection (I8)
|
99% |
469
5.57 IPS |
|
|
Depth Estimation (F32)
|
100% |
617
4.79 IPS |
|
|
Depth Estimation (F16)
|
100% |
560
4.34 IPS |
|
|
Depth Estimation (I8)
|
99% |
529
4.10 IPS |
|
|
Style Transfer (F32)
|
100% |
1624
2.14 IPS |
|
|
Style Transfer (F16)
|
100% |
1453
1.91 IPS |
|
|
Style Transfer (I8)
|
100% |
1604
2.11 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
512
18.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
553
19.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
553
19.7 IPS |
|
|
Text Classification (F32)
|
100% |
239
343.2 IPS |
|
|
Text Classification (F16)
|
100% |
215
309.6 IPS |
|
|
Text Classification (I8)
|
96% |
217
312.2 IPS |
|
|
Machine Translation (F32)
|
100% |
322
5.93 IPS |
|
|
Machine Translation (F16)
|
100% |
262
4.82 IPS |
|
|
Machine Translation (I8)
|
99% |
330
6.07 IPS |
