iPhone 8 Plus
Geekbench ML Score
408
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 08:34 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPhone 8 Plus |
| Model ID | iPhone10,2 |
| Motherboard | D21AP |
| 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
44.1 IPS |
|
|
Image Classification (F16)
|
100% |
218
40.9 IPS |
|
|
Image Classification (I8)
|
99% |
215
40.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
200
3.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
202
3.38 IPS |
|
|
Image Segmentation (I8)
|
100% |
201
3.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
989
1.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
955
1.16 IPS |
|
|
Pose Estimation (I8)
|
100% |
957
1.16 IPS |
|
|
Object Detection (F32)
|
100% |
251
18.7 IPS |
|
|
Object Detection (F16)
|
100% |
235
17.5 IPS |
|
|
Object Detection (I8)
|
97% |
248
18.5 IPS |
|
|
Face Detection (F32)
|
100% |
423
5.03 IPS |
|
|
Face Detection (F16)
|
100% |
460
5.47 IPS |
|
|
Face Detection (I8)
|
99% |
473
5.62 IPS |
|
|
Depth Estimation (F32)
|
100% |
619
4.80 IPS |
|
|
Depth Estimation (F16)
|
100% |
532
4.13 IPS |
|
|
Depth Estimation (I8)
|
99% |
526
4.08 IPS |
|
|
Style Transfer (F32)
|
100% |
1620
2.13 IPS |
|
|
Style Transfer (F16)
|
100% |
1547
2.04 IPS |
|
|
Style Transfer (I8)
|
100% |
1412
1.86 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
468
16.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
511
18.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
534
19.1 IPS |
|
|
Text Classification (F32)
|
100% |
231
332.5 IPS |
|
|
Text Classification (F16)
|
100% |
216
310.9 IPS |
|
|
Text Classification (I8)
|
96% |
220
316.8 IPS |
|
|
Machine Translation (F32)
|
100% |
320
5.89 IPS |
|
|
Machine Translation (F16)
|
100% |
242
4.46 IPS |
|
|
Machine Translation (I8)
|
99% |
305
5.61 IPS |
