iPhone 8 Plus
Geekbench ML Score
387
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 20 2025 01:18 PM |
| Views | 6 |
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% |
225
42.1 IPS |
|
|
Image Classification (F16)
|
100% |
202
37.8 IPS |
|
|
Image Classification (I8)
|
99% |
199
37.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (I8)
|
100% |
183
3.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
875
1.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
668
0.81 IPS |
|
|
Pose Estimation (I8)
|
100% |
670
0.81 IPS |
|
|
Object Detection (F32)
|
100% |
187
14.0 IPS |
|
|
Object Detection (F16)
|
100% |
172
12.8 IPS |
|
|
Object Detection (I8)
|
97% |
230
17.2 IPS |
|
|
Face Detection (F32)
|
100% |
444
5.27 IPS |
|
|
Face Detection (F16)
|
100% |
438
5.21 IPS |
|
|
Face Detection (I8)
|
99% |
455
5.41 IPS |
|
|
Depth Estimation (F32)
|
100% |
597
4.63 IPS |
|
|
Depth Estimation (F16)
|
100% |
531
4.12 IPS |
|
|
Depth Estimation (I8)
|
99% |
525
4.07 IPS |
|
|
Style Transfer (F32)
|
100% |
1591
2.09 IPS |
|
|
Style Transfer (F16)
|
100% |
1590
2.09 IPS |
|
|
Style Transfer (I8)
|
100% |
1595
2.10 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
513
18.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
547
19.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
544
19.4 IPS |
|
|
Text Classification (F32)
|
100% |
223
320.1 IPS |
|
|
Text Classification (F16)
|
100% |
214
307.6 IPS |
|
|
Text Classification (I8)
|
96% |
220
316.4 IPS |
|
|
Machine Translation (F32)
|
100% |
323
5.95 IPS |
|
|
Machine Translation (F16)
|
100% |
262
4.82 IPS |
|
|
Machine Translation (I8)
|
99% |
332
6.11 IPS |
