iPhone 8 Plus
Geekbench ML Score
402
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 01 2025 11:27 PM |
| Views | 4 |
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% |
231
43.3 IPS |
|
|
Image Classification (F16)
|
100% |
211
39.4 IPS |
|
|
Image Classification (I8)
|
99% |
209
39.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
196
3.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
944
1.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
973
1.18 IPS |
|
|
Pose Estimation (I8)
|
100% |
954
1.15 IPS |
|
|
Object Detection (F32)
|
100% |
249
18.6 IPS |
|
|
Object Detection (F16)
|
100% |
225
16.8 IPS |
|
|
Object Detection (I8)
|
97% |
255
19.0 IPS |
|
|
Face Detection (F32)
|
100% |
477
5.68 IPS |
|
|
Face Detection (F16)
|
100% |
473
5.62 IPS |
|
|
Face Detection (I8)
|
99% |
469
5.58 IPS |
|
|
Depth Estimation (F32)
|
100% |
592
4.59 IPS |
|
|
Depth Estimation (F16)
|
100% |
526
4.08 IPS |
|
|
Depth Estimation (I8)
|
99% |
522
4.05 IPS |
|
|
Style Transfer (F32)
|
100% |
1534
2.02 IPS |
|
|
Style Transfer (F16)
|
100% |
1414
1.86 IPS |
|
|
Style Transfer (I8)
|
100% |
1394
1.83 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
422
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
510
18.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
511
18.3 IPS |
|
|
Text Classification (F32)
|
100% |
228
328.3 IPS |
|
|
Text Classification (F16)
|
100% |
214
307.4 IPS |
|
|
Text Classification (I8)
|
96% |
222
318.4 IPS |
|
|
Machine Translation (F32)
|
100% |
306
5.64 IPS |
|
|
Machine Translation (F16)
|
100% |
242
4.46 IPS |
|
|
Machine Translation (I8)
|
99% |
307
5.65 IPS |
