iPhone 8 Plus
Geekbench ML Score
398
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 09:14 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.12 |
| 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% |
222
41.6 IPS |
|
|
Image Classification (F16)
|
100% |
203
37.9 IPS |
|
|
Image Classification (I8)
|
99% |
202
37.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
185
3.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
188
3.13 IPS |
|
|
Image Segmentation (I8)
|
100% |
188
3.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
823
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
870
1.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
883
1.07 IPS |
|
|
Object Detection (F32)
|
100% |
237
17.7 IPS |
|
|
Object Detection (F16)
|
100% |
224
16.7 IPS |
|
|
Object Detection (I8)
|
97% |
240
17.9 IPS |
|
|
Face Detection (F32)
|
100% |
470
5.59 IPS |
|
|
Face Detection (F16)
|
100% |
442
5.25 IPS |
|
|
Face Detection (I8)
|
99% |
460
5.46 IPS |
|
|
Depth Estimation (F32)
|
100% |
586
4.55 IPS |
|
|
Depth Estimation (F16)
|
100% |
555
4.30 IPS |
|
|
Depth Estimation (I8)
|
99% |
534
4.14 IPS |
|
|
Style Transfer (F32)
|
100% |
1512
1.99 IPS |
|
|
Style Transfer (F16)
|
100% |
1540
2.03 IPS |
|
|
Style Transfer (I8)
|
100% |
1632
2.15 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
518
18.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
508
18.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
497
17.8 IPS |
|
|
Text Classification (F32)
|
100% |
222
318.8 IPS |
|
|
Text Classification (F16)
|
100% |
214
308.2 IPS |
|
|
Text Classification (I8)
|
96% |
220
316.3 IPS |
|
|
Machine Translation (F32)
|
100% |
308
5.67 IPS |
|
|
Machine Translation (F16)
|
100% |
256
4.70 IPS |
|
|
Machine Translation (I8)
|
99% |
309
5.69 IPS |
